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puspendratalks · 2 months

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Boost Your Business with Expert MongoDB Development Services

businesses require robust and efficient database solutions to manage and scale their data effectively. MongoDB, a high-end open source database platform, has emerged as a leading choice for organizations seeking optimal performance and scalability. This article delves into the comprehensive services offered by brtechgeeks for MongoDB development, highlighting its key features, advantages, and why it's the preferred choice for modern businesses.

Technical Specifications

Database Type: NoSQL, document-oriented

Data Storage: BSON (Binary JSON)

Query Language: MongoDB Query Language (MQL)

Scalability: Horizontal scaling through sharding

Replication: Replica sets for high availability

Indexing: Supports various types of indexes, including single field, compound, geospatial, and text indexes

Aggregation: Powerful aggregation framework for data processing and analysis

Server Support: Cross-platform support for Windows, Linux, and macOS

Applications

MongoDB is versatile and can be utilized across various industries and applications:

E-commerce: Product catalogs, inventory management, and order processing

Finance: Real-time analytics, risk management, and fraud detection

Healthcare: Patient records, clinical data, and research databases

IoT: Device data storage, real-time processing, and analytics

Gaming: Player data, leaderboards, and in-game analytics

Benefits of Hiring brtechgeeks for MongoDB Development Services

Expertise in Ad hoc Queries: Our professionals possess extensive experience in handling ad hoc queries, ensuring flexible and dynamic data retrieval.

Enhanced Data Processing: Utilizing sharding and scalability techniques, we boost your data processing performance.

Improved Database Management: We enhance your database management system, ensuring efficient and effective data handling.

Complex Query Handling: By indexing on JSON data, we skillfully manage complex queries, improving performance and reliability.

24/7 Support: Our dedicated team works round the clock to provide optimum results and the best experience.

Request A Quote For MongoDB Development Services

Challenges and Limitations

While MongoDB offers numerous advantages, it also comes with certain challenges:

Data Modeling: Designing effective data models can be complex.

Memory Usage: MongoDB can be memory-intensive due to its in-memory data storage.

Security: Proper configuration is essential to ensure data security.

Latest Innovations

Recent advancements in MongoDB include:

MongoDB Atlas: A fully managed cloud database service

Multi-document ACID transactions: Ensuring data integrity across multiple documents

Enhanced Aggregation Framework: New operators and expressions for advanced data processing

Future Prospects

The future of MongoDB looks promising with continuous improvements and updates. Predictions include:

Increased Adoption: More businesses will adopt MongoDB for its scalability and performance.

Integration with AI and ML: Enhanced integration with artificial intelligence and machine learning for advanced analytics.

Improved Security Features: Continuous development of security features to protect data.

Comparative Analysis

Comparing MongoDB with other database technologies:

MongoDB vs. SQL Databases: MongoDB offers more flexibility with unstructured data compared to traditional SQL databases.

MongoDB vs. Cassandra: MongoDB provides a richer query language and better support for ad hoc queries than Cassandra.

MongoDB vs. Firebase: MongoDB offers better scalability and data modeling capabilities for complex applications.

User Guides or Tutorials

Setting Up MongoDB

Installation: Download and install MongoDB from the official website.

Configuration: Configure the MongoDB server settings.

Data Import: Import data using MongoDB's import tools.

Basic CRUD Operations

Create: Insert documents into a collection.

Read: Query documents using MQL.

Update: Modify existing documents.

Delete: Remove documents from a collection.

MongoDB stands out as a powerful, flexible, and scalable database solution, making it an excellent choice for businesses across various industries. By partnering with brtechgeeks, you can leverage expert MongoDB development services to enhance your data processing capabilities, ensure robust database management, and achieve optimal performance. Embrace MongoDB development to stay ahead in the competitive digital landscape.

For more information and to hire our MongoDB development services, visit us at brtechgeeks.

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About Us

BR TechGeeks was initiated in 2009 with a vision – to bring good technology and good relationships come together with collaboration. We are individuals with a passion for creativity and creativity makes us happy. We believe there is always a better way to bring your business online – whether it be a website or a mobile application. Not only do we stop there, we help get your business across to your customers. A creative use of technology can make complicated ideas more understandable and digital products

B-8 Basement, Sector- 2 Noida

U.P. India 201301

Call +91 7011 84 555 3

E-mail: [email protected]

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abiinnovate · 16 days

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What is data science?

Data science is an interdisciplinary field that involves using scientific methods, algorithms, processes, and systems to extract knowledge and insights from structured and unstructured data. It combines elements of statistics, computer science, domain expertise, and data engineering to analyze large volumes of data and derive actionable insights.

Key Components of Data Science:

Data Collection

Definition: Gathering data from various sources, which can include databases, APIs, web scraping, sensors, and more.

Types of Data:

Structured Data: Organized in tables (e.g., databases).

Unstructured Data: Includes text, images, videos, etc.

Data Cleaning and Preparation

Definition: Processing and transforming raw data into a clean format suitable for analysis. This step involves handling missing values, removing duplicates, and correcting errors.

Importance: Clean data is crucial for accurate analysis and model building.

Exploratory Data Analysis (EDA)

Definition: Analyzing the data to discover patterns, trends, and relationships. This involves statistical analysis, data visualization, and summary statistics.

Tools: Common tools for EDA include Python (with libraries like Pandas and Matplotlib), R, and Tableau.

Data Modeling

Definition: Building mathematical models to represent the underlying patterns in the data. This includes statistical models, machine learning models, and algorithms.

Types of Models:

Supervised Learning: Models that are trained on labeled data (e.g., classification, regression).

Unsupervised Learning: Models that find patterns in unlabeled data (e.g., clustering, dimensionality reduction).

Reinforcement Learning: Models that learn by interacting with an environment to maximize some notion of cumulative reward.

Model Evaluation and Tuning

Definition: Assessing the performance of models using metrics such as accuracy, precision, recall, F1 score, etc. Model tuning involves optimizing the model parameters to improve performance.

Cross-Validation: A technique used to assess how the results of a model will generalize to an independent dataset.

Data Visualization

Definition: Creating visual representations of data and model outputs to communicate insights clearly and effectively.

Tools: Matplotlib, Seaborn, D3.js, Power BI, and Tableau are commonly used for visualization.

Deployment and Monitoring

Definition: Implementing the model in a production environment where it can be used to make real-time decisions. Monitoring involves tracking the model's performance over time to ensure it remains accurate.

Tools: Cloud services like AWS, Azure, and tools like Docker and Kubernetes are used for deployment.

Ethics and Privacy

Consideration: Ensuring that data is used responsibly, respecting privacy, and avoiding biases in models. Data scientists must be aware of ethical considerations in data collection, analysis, and model deployment.

Applications of Data Science:

Business Intelligence: Optimizing operations, customer segmentation, and personalized marketing.

Healthcare: Predicting disease outbreaks, personalized medicine, and drug discovery.

Finance: Fraud detection, risk management, and algorithmic trading.

E-commerce: Recommendation systems, inventory management, and price optimization.

Social Media: Sentiment analysis, trend detection, and user behavior analysis.

Tools and Technologies in Data Science:

Programming Languages: Python, R, SQL.

Machine Learning Libraries: Scikit-learn, TensorFlow, PyTorch.

Big Data Tools: Hadoop, Spark.

Data Visualization: Matplotlib, Seaborn, Tableau, Power BI.

Databases: SQL, NoSQL (MongoDB), and cloud databases like Google BigQuery.

Conclusion

Data science is a powerful field that is transforming industries by enabling data-driven decision-making. With the explosion of data in today's world, the demand for skilled data scientists continues to grow, making it an exciting and impactful career path.

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#data analytics

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digitalmarketing-hema · 2 months

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website design and development in bangalore

bangalore a hub of tech and IT in India, web developers typically work with a wide array of technologies and platforms. Here are some of the common ones:

Front-end Technologies:HTML/CSS: Fundamental for structuring and styling web pages.JavaScript: Essential for interactive elements and client-side scripting.Frameworks/Libraries: Such as React.js, Angular, or Vue.js for building interactive user interfaces.

Back-end Technologies:Server-side Languages: Such as Node.js (JavaScript), Python (Django, Flask), PHP (Laravel), or Java (Spring).Databases: MySQL, PostgreSQL, MongoDB for storing and managing data.

Content Management Systems (CMS):WordPress: Widely used for its flexibility and extensive plugin ecosystem.Drupal and Joomla: Alternatives to WordPress, offering different features and capabilities.

E-commerce Platforms:Shopify: Popular for its ease of use and scalability for online stores.Magento: Known for its robustness and customization options for larger e-commerce sites.

Cloud Platforms and Hosting Services:Amazon Web Services (AWS), Google Cloud Platform (GCP), Microsoft Azure: For cloud hosting, storage, and scalable computing resources. Digital Ocean, Linode: Cloud hosting providers popular among developers for their simplicity and pricing.

Version Control: Git: Essential for version control and collaboration among developers.

Development Tools :IDEs: Such as Visual Studio Code, Sublime Text, or JetBrains IntelliJ IDEA for coding. DevOps Tools: Jenkins, Docker, Kubernetes for automation, containerization, and deployment.

Responsive Design and Mobile Optimization :Techniques and frameworks like Bootstrap or CSS Grid for ensuring websites are mobile-friendly and responsive.

SEO Tools: Google Analytics, Google Search Console: For tracking and optimizing website performance and SEO.

Security Considerations: Awareness of web security best practices, SSL certificates, and tools like OWASP Zap for testing vulnerabilities

website design and development in vk academy it solutions. pvt

10 years experience in this field

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onlineprofessionalcourse · 3 months

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Best Online Information Technology Courses & Programs

In today’s fast-paced digital world, information technology (IT) skills have become essential. Whether you’re looking to advance in your career or pivot to a new field, gaining expertise in IT can open numerous doors. SkillUp Online offers a comprehensive platform for anyone eager to enhance their IT skills through a variety of online courses and programs.

What is SkillUp Online?

SkillUp Online is a dynamic educational platform dedicated to providing high-quality online courses in information technology and related fields. Founded with a mission to democratize education and empower individuals worldwide, SkillUp Online offers courses ranging from basic IT skills to advanced specialized training.

Why Choose Online IT Courses?

Flexibility and Convenience

One of the main advantages of online IT courses is the flexibility they offer. You can learn at your own pace, from the comfort of your home, and fit your studies around your existing commitments.

Cost-effectiveness

Online courses are often more affordable than traditional classroom-based courses. SkillUp Online provides competitive pricing, ensuring that quality education is accessible to everyone.

Access to a Global Pool of Knowledge

Online platforms connect you with experts and learners from around the world, enriching your learning experience with diverse perspectives and cutting-edge knowledge.

Top Online IT Courses on SkillUp Online

Web Development

Web development is a cornerstone of the digital age. SkillUp Online offers courses in:

Front-end Development: Learn HTML, CSS, JavaScript, and frameworks like React and Angular.

Back-end Development: Master server-side technologies such as Node.js, Python, and databases like MongoDB and SQL.

Full-stack Development: Combine front-end and back-end skills to become a versatile developer.

Cybersecurity

With cyber threats on the rise, cybersecurity skills are in high demand. SkillUp Online’s courses include:

Ethical Hacking: Understand how to identify and exploit vulnerabilities legally.

Network Security: Learn how to protect and secure network infrastructures.

Cybersecurity Certifications: Prepare for certifications like CompTIA Security+, CISSP, and CEH.

Data Science

Data is the new oil, and data science is the key to unlocking its value. Courses offered:

Introduction to Data Science: Get started with data analysis, statistics, and machine learning.

Advanced Data Analytics: Dive deeper into predictive modeling, big data analytics, and advanced statistical techniques.

Data Visualization Techniques: Learn how to present data effectively using tools like Tableau and Power BI.

Cloud Computing

Cloud computing is transforming how businesses operate. SkillUp Online provides courses such as:

Fundamentals of Cloud Computing: Understand the basics of cloud technology and its applications.

AWS Certification Courses: Prepare for AWS certifications like Solutions Architect, Developer, and SysOps Administrator.

Microsoft Azure Courses: Gain expertise in Microsoft’s cloud platform and prepare for Azure certifications.

Artificial Intelligence and Machine Learning

AI and ML are at the forefront of technological innovation. Courses include:

Basics of AI and ML: Learn the foundational concepts and algorithms.

Advanced AI and ML Algorithms: Study neural networks, deep learning, and advanced algorithms.

Practical Applications of AI and ML: Explore real-world applications and projects.

Certifications and Career Advancement

Certifications are crucial in the IT field. They validate your skills and enhance your resume. SkillUp Online offers preparation for various certifications that can significantly boost your career prospects.

Learning Experience on SkillUp Online

SkillUp Online provides an interactive and engaging learning experience with:

Interactive Learning Modules: Hands-on labs, quizzes, and projects to reinforce learning.

Experienced Instructors: Courses are taught by industry experts with practical experience.

Peer Support and Networking: Connect with fellow learners for support, collaboration, and networking opportunities.

Success Stories

Many learners have successfully transitioned into high-paying IT roles thanks to SkillUp Online. Testimonials and case studies highlight the platform’s impact on career growth and personal development.

How to Get Started with SkillUp Online

Getting started is easy. Simply sign up on the SkillUp Online website, browse the available courses, and enroll in the one that suits your needs. The user-friendly platform makes navigation a breeze, and you can start learning immediately.

Pricing and Subscription Plans

SkillUp Online offers various pricing models to fit different budgets. Subscription plans provide access to multiple courses at a discounted rate, and financial aid options are available to ensure that everyone has the opportunity to learn.

Conclusion

In a world where technology is constantly evolving, staying updated with the latest IT skills is crucial. SkillUp Online offers a diverse range of courses that cater to beginners and advanced learners alike. With flexible learning options, affordable pricing, and a supportive community, there’s no better time to invest in your future. Enroll in a course today and take the first step towards a rewarding career in IT.

#Online IT Courses

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erpinformation · 4 months

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#mongodb #mongodbatlas

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smithjoe · 6 months

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How to Develop Best Grocery Delivery App Like Instacart?

In today's fast-paced world, convenience is vital, and grocery delivery apps like Instacart have revolutionized how we shop for groceries. With a few simple taps on your phone, you can have your favorite groceries delivered right to your doorstep, saving you time and hassle. But have you ever wondered how to develop the best grocery delivery app like Instacart? If you're an entrepreneur looking to create your grocery delivery app, you're in the right place. Building a successful grocery delivery app requires careful planning, strategy, and a solid understanding of the target market. This article provides a comprehensive guide on how to develop a top-notch grocery delivery app like Instacart.

Market Analysis of Grocery Delivery Apps

Before diving into the development process, conducting a thorough market analysis of existing grocery delivery apps is essential. Analyzing the competition will help you identify gaps in the market and understand what features and functionalities are in high demand.

Research popular grocery delivery apps like Instacart, Amazon Fresh, and Walmart Grocery. Pay attention to customer reviews and feedback to gain insights into what users love and what can be improved.

Features of Successful Grocery Delivery Apps

To create a successful grocery delivery app, you need to offer features that cater to the needs and expectations of your target audience. Here are some essential features to consider:

User Registration and Profiles

It allows users to easily create accounts and manage their personal information, delivery addresses, and payment methods.

Product Catalog

Build a comprehensive catalog of grocery items, including descriptions, images, and pricing. Implement search and filter functionalities to help users find specific products quickly.

Real-Time Inventory Management

Integrate with store inventory systems to ensure accurate product availability information. Displaying real-time stock levels will prevent users from ordering items out of stock.

Custom Shopping Lists

Enable users to create and save shopping lists for easy reordering. Incorporate features like smart suggestions and voice recognition for a convenient shopping experience.

Delivery Scheduling

Allow users to choose preferred delivery slots based on availability. Implement a notification system to keep users updated on the status of their deliveries.

In-App Chat/Support

Provide a seamless communication channel between users, delivery drivers, and customer support. This feature ensures timely assistance and issue resolution.

Ratings and Reviews

Enable users to rate and review products, delivery drivers, and overall service quality. Positive reviews can boost user confidence and attract new customers.

Remember, these are just a few examples of features to include. Consider conducting user surveys or focus groups to gather feedback and understand what additional functionalities would enhance the user experience.

Choosing the Right Technology Stack for Your App Development

Selecting the right technology stack is crucial for the success of your Uber grocery delivery app. Consider the following components.

Mobile App Development

Choose a platform (iOS, Android, or both) based on your target audience's preferences. Opt for native app development or cross-platform frameworks like React Native or Flutter for cost-effective development.

Backend Development

Consider technologies like Node.js, Ruby on Rails, or Django for a robust and scalable backend. These frameworks provide efficient server-side processing and data management capabilities.

Database Management

Select a reliable database management system, such as MongoDB, PostgreSQL, or MySQL, to efficiently handle large amounts of data.

Cloud Infrastructure

Utilize cloud platforms like AWS, Google Cloud, or Azure for secure data storage, real-time updates, and easy scalability.

API Integrations

Integrate with third-party APIs for payment gateways, geolocation, and SMS notifications. It enables seamless communication and enhances the overall functionality of your app.

Consult with experienced developers or a technology consultant to determine the most suitable technology stack for your requirements.

Designing a User-Friendly Interface for Your App

A user-friendly and visually appealing interface is critical for engaging users and keeping them returning to your app. Follow these design principles to create an intuitive and pleasing user interface:

Keep it Simple

Avoid clutter using clean layouts, minimalistic design elements, and clear navigation menus. Simplify the ordering process and minimize the steps required to complete a purchase.

Intuitive Navigation

Design intuitive navigation flows that guide users seamlessly through the app. Utilize clear icons, labels, and breadcrumbs to help users understand where they are in the app and how to navigate to different sections.

Visual Hierarchy

Highlight essential elements and information using visual cues such as color, size, and contrast. Use whitespace effectively to improve readability and create a sense of visual balance.

Responsiveness

Ensure your app is responsive across different devices and screen sizes. Optimize layouts and image sizes to provide a consistent and enjoyable user experience.

Accessibility

Make your app accessible to users with disabilities by implementing features like voice control, text-to-speech, and adjustable font sizes. Consider colorblindness and other visual impairments when choosing color schemes.

By prioritizing user experience and following design best practices, you can create an app that users will find intuitive and enjoyable.

Building a Robust Backend for Seamless Operations

The success of your on-demand grocery delivery solution relies heavily on a robust and efficient backend system. Here are some key components to consider:

User Management

Implement secure authentication and authorization systems to protect user data and enable personalized experiences.

Order Management

Develop an order management system that efficiently handles order processing, tracking, and fulfillment. Integrate with delivery partners or build your fleet management system for smooth, timely delivery.

Inventory Management

Ensure real-time inventory updates by integrating with store systems or implementing your inventory management system. It will prevent instances of out-of-stock items and enable accurate order fulfillment.

Analytics and Reporting

Incorporate analytics tools to track user behavior, order patterns, and app performance. Utilize this data to make informed business decisions and optimize your app for improved user satisfaction.

Scalability and Performance

Build your backend infrastructure to handle high volumes of concurrent users and ensure a seamless experience even during peak times. Utilize caching mechanisms, load balancing, and other performance optimization techniques.

Collaborate with experienced backend developers and infrastructure experts to ensure a robust and scalable backend system that can handle the demands of your app.

Integrating Payment Gateways and Security Features

Seamless and secure payment processing is critical to any grocery delivery app. Integrate reliable and widely used payment gateways like Stripe, PayPal, or Braintree to provide users with multiple payment options and a secure checkout process.

Implement robust security measures to protect user data and prevent unauthorized access. Utilize encryption technologies, secure connections (HTTPS), and adhere to industry-standard security practices to build user trust and safeguard sensitive information.

Marketing and Promoting Your App for Maximum Reach

Effective marketing and promotion are crucial to success in your grocery delivery app. Here are some strategies to consider:

Social Media Marketing

Utilize popular social media platforms like Facebook, Instagram, and Twitter to create engaging content, run targeted ads, and build a community around your app.

App Store Optimization (ASO)

Optimize your app store listing using relevant keywords, compelling descriptions, and eye-catching visuals. Encourage positive reviews and ratings to improve your app's visibility.

Influencer Partnerships

Collaborate with influencers, bloggers, and vloggers in the food and lifestyle niche to promote your app. Their recommendations can significantly increase your app's visibility and attract new users.

Referral Programs

Implement referral programs to incentivize existing users to refer their friends and family. Offer discounts, exclusive promotions, or rewards for successful referrals.

Local Partnerships

Forge partners with local grocery stores, restaurants, and food brands to offer exclusive deals and discounts. It will help you tap into their existing customer base and drive app downloads.

Content Marketing

Create valuable and informative content about grocery shopping, healthy eating, and food trends. Publish blog posts, videos, and infographics to establish your app as an authority in the industry.

Remember to track and analyze the effectiveness of your marketing efforts continuously. Adjust your strategies based on user feedback, market trends, and competitor analysis to maximize your app's reach and user acquisition.

Conclusion

Developing a grocery delivery app like Instacart Clone requires careful planning, attention to detail, and a commitment to providing a seamless user experience. Following the critical steps outlined in this article, you can create a top-notch grocery delivery app that stands out in the competitive market and attracts a loyal customer base. Test your app thoroughly before launching and implement effective marketing strategies to ensure maximum reach and user engagement.

#on demand grocery delivery app #grocery delivery app #grocery delivery app solution #on demand grocery delivery app solution #online grocery delivery app #uber grocery app development solution #instacart clone script #instacart clone script solution #uber grocery delivery app #instacart clone

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omninossolutio · 1 year

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Building a Netflix Clone: A Deep Dive into the Streaming Service Industry

The global streaming service industry has witnessed exponential growth over the past decade, with platforms like Netflix leading the way. As the demand for on-demand content continues to surge, entrepreneurs and developers are increasingly looking to create their own streaming platforms. In this comprehensive guide, we will explore the concept of a Netflix clone, the key features required to replicate Netflix's success, and the technical aspects involved in building such a platform.

Understanding the Netflix Phenomenon (150 words)

Netflix, founded in 1997 as a DVD rental service, has evolved into a global streaming giant with millions of subscribers worldwide. Its success can be attributed to its vast content library, user-friendly interface, and personalized recommendations. A Netflix clone aims to replicate these elements to offer a similar streaming experience to its users.

Key Features of a Netflix Clone (200 words)

Content Library: A Netflix clone must have a vast and diverse content library. This includes a wide range of movies, TV shows, documentaries, and original content. Licensing agreements and partnerships with content providers are essential to ensure a continuous flow of fresh content.

User Profiles and Personalization: Like Netflix, a clone should allow users to create individual profiles. Personalization algorithms should then analyze user behavior and preferences to offer tailored content recommendations. This enhances user engagement and retention.

Cross-Platform Compatibility: A Netflix clone should be accessible on multiple devices, including smartphones, tablets, smart TVs, and desktops. Developing responsive web and mobile applications is crucial to reach a broader audience.

Subscription Management: Implementing subscription plans and payment gateways is essential for monetizing the platform. Users should have the flexibility to choose from different subscription tiers, each offering various features and pricing options.

Offline Viewing: Providing the option to download content for offline viewing is a popular feature that enhances user convenience. It's crucial to implement secure DRM (Digital Rights Management) mechanisms to protect downloaded content.

Seamless Streaming Experience: A Netflix clone must ensure smooth and uninterrupted streaming. This includes adaptive streaming technology that adjusts video quality based on the user's internet connection speed.

Search and Navigation: Robust search and navigation functionalities help users discover content easily. Implementing filters, categories, and advanced search options can improve the overall user experience.

Content Recommendations: Machine learning algorithms analyze user preferences and viewing history to suggest relevant content. This keeps users engaged and encourages them to explore more content on the platform.

Technical Aspects of Building a Netflix Clone (200 words)

Content Delivery Network (CDN): To ensure fast and reliable streaming, leverage a CDN to distribute content to users globally. CDNs reduce latency and ensure content is delivered from the nearest server.

Video Encoding and Streaming Servers: Implement video encoding to support various formats and resolutions. Use streaming servers like Wowza, Apache Kafka, or Amazon Kinesis to deliver content efficiently.

Database Management: A robust database system is essential to store and manage vast amounts of user data, content metadata, and streaming logs. Consider using NoSQL databases like MongoDB for scalability.

Security and DRM: Protecting copyrighted content is crucial. Implement Digital Rights Management (DRM) solutions to secure content and user information. SSL encryption should also be employed for secure data transmission.

Scalability: As your user base grows, ensure your infrastructure can scale accordingly. Cloud-based solutions like AWS, Azure, or Google Cloud can provide the scalability needed to handle increased traffic.

Mobile and Web Development: Develop responsive web and mobile applications using technologies like React, Angular, or Vue.js for front-end development. For back-end development, Node.js, Ruby on Rails, or Python can be used.

Payment Integration: Integrate payment gateways like Stripe, PayPal, or Braintree to handle subscription payments securely.

Content Management System (CMS): Implement a CMS to efficiently organize and manage your content library. Tools like WordPress or custom-built CMS systems can be used.

Challenges in Building a Netflix Clone (100 words)

While creating a Netflix clone can be a lucrative endeavor, it comes with its own set of challenges. Securing content licenses, maintaining a vast content library, and competing with established giants are significant hurdles. Additionally, ensuring a seamless streaming experience across various devices and handling user data securely are ongoing challenges that require continuous attention and resources.

Monetization Strategies (100 words)

To sustain a Netflix clone, it's essential to implement effective monetization strategies. Subscription-based models, where users pay for access to premium content, are the most common. You can offer tiered pricing plans with varying features to cater to a broader audience. Alternatively, you can generate revenue through ads, although this may affect the user experience. Partnerships, merchandise sales, and exclusive content deals are other avenues to explore for revenue generation.

Conclusion (50 words)

Creating a Netflix clone is a complex yet promising venture. Success in this competitive industry requires a deep understanding of user preferences, robust technical infrastructure, and a commitment to providing a superior streaming experience. By focusing on key features and overcoming challenges, entrepreneurs and developers can embark on the journey to build their own successful streaming platform.

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droyyy · 2 years

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Running Production-Grade Databases on Kubernetes - Challenges and Solutions

As containers are taking over the world of software development, Kubernetes has emerged as the platform that lets developers seamlessly deploy, scale, run applications, and manage their life cycles. Kubernetes is a DevOps game-changer since it allows teams to focus on applications and deployment rather than worrying about the underlying infrastructure. Given the multi-cloud environment in which DevOps teams perform, Kubernetes abstracts the cloud provider and enables enterprises to build cloud-native applications that can run anywhere.

But managing stateful workloads in a containerized environment has always been a challenge. However, as Kubernetes developed, the whole community worked hard to bring stateful workloads to meet the needs of their enterprise users. As a result, Kubernetes introduced StatefulSets which supports stateful workloads since Kubernetes version 1.9. Users of Kubernetes now can use stateful applications like databases, AI workloads, and big data. Kubernetes support for stateful workloads comes in the form of StatefulSets.

Despite all of these, the data layer is still demanding because it requires a vast knowledge to run data applications or stateful applications on Kubernetes. And as of today, if you want to run your stateful applications on Kubernetes and you need a database, you have three solutions or options to implement it, one is to go with the managed database service of a cloud provider like AWS, Azure, GCP. Or, you can go with the hosted database service that is usually provided by the database vendors themselves like Elastic Cloud, MongoDB Atlas, etc. And the third option is you run the Kubernetes cluster and run your databases inside Kubernetes.

If you go to the cloud provider solution, the primary drawback is that cloud providers aren’t really your DBA. If you have a slow query, they are not going to tell you how to fix that and you have to figure that out on your own. And your operating procedures will become vendor locked. There is limited option for customization. You can’t just use that database extension you need. If you have data sovereignty or air-gapped requirements, you are out of luck. The usage based pricing model of cloud services can be very expensive at scale. And the same kind of issue goes with the Database Vendor Solutions too. Here, you will face an additional issue which is the choice of more than one database engine. Database vendors only offer one database which they are working on.

So, you are left with the option of running databases inside Kubernetes. Kubernetes is much more stable and mature today than it was at its inception in 2014. But using databases in Kubernetes native way requires some preparation. You should have a good knowledge of Kubernetes, Helm Chart, YAML, some database engine and then provision those things according to your needs. Even after initial provisioning, you will face complications with routine database tasks such as Monitoring, Upgrading, Patching, Scaling, Volume Expansion, Backup and Recovery, Failure detection, and Security. There will be a lot of things you have to do manually to keep your database for production workloads in Kubernetes.

This is where a Kubernetes operator based approach can really shine. Kubernetes operators are applications that run inside a Kubernetes cluster and extend Kubernetes for a specific application. Like a human operator or DBA, a Kubernetes operator for a database can simplify and automate routine database tasks such as Provisioning, Monitoring, Upgrading, Patching, Scaling, Volume Expansion, Backup and Recovery, Failure detection, and Security configuration.

Unlike human DBAs, you can shift left database management to app developers. Developers can adopt cloud native DevOps practices uniformly across any number of Kubernetes clusters using GitOps. You are no longer limited to the cloud. You can bring those same practices to on-premises where the majority of workloads run today. You don’t need to worry about all of the knowledge of Kubernetes concept, Helm, and database configuration. A Kubernetes operator simplifies the whole process for you using Custom Resources. You just have to use standard Kubernetes CLI and API to provision your databases. You can upgrade your database to any major or minor update of the database version. You can use Prometheus metrics to scale your database both vertically and horizontally with the rest of your application. You can expand your storage capacity of the database in Kubernetes. A Kubernetes operator can secure your database using TLS and automate certificate rotation. Kubernetes operators can also protect your database from disaster by periodically taking backups to object stores like S3 etc. In short, a well implemented Kubernetes operator based database management solution can offer you the best of both worlds - you get the benefits of a cloud provider managed solution without any of its limitations.

KubeDB by AppsCode is an open-core production-grade cloud-native database management solution for Kubernetes. KubeDB simplifies and automates routine database tasks such as provisioning, patching, backup, recovery, scaling & tls management for various popular databases on private and public clouds. It frees you to focus on your applications so you can give them the fast performance, high availability, security and compatibility they need. KubeDB offers many familiar database engines to choose from, including PostgreSQL, MySQL, MongoDB, Elasticsearch, Redis and Memcached. And the list is growing. KubeDB’s native integration with Kubernetes makes it a unique solution compared to competitive solutions from cloud providers and database vendors. KubeDB has been under development since 2017 and is powering critical infrastructure for many enterprises in Telecom, Healthcare, Gaming, EPR, and Financial industries.

#kubernetes #database #operator #tech #technology

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dbhosting · 3 years

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Which Is The Best PostgreSQL GUI? 2021 Comparison

PostgreSQL graphical user interface (GUI) tools help open source database users to manage, manipulate, and visualize their data. In this post, we discuss the top 6 GUI tools for administering your PostgreSQL hosting deployments. PostgreSQL is the fourth most popular database management system in the world, and heavily used in all sizes of applications from small to large. The traditional method to work with databases is using the command-line interface (CLI) tool, however, this interface presents a number of issues:

It requires a big learning curve to get the best out of the DBMS.

Console display may not be something of your liking, and it only gives very little information at a time.

It is difficult to browse databases and tables, check indexes, and monitor databases through the console.

Many still prefer CLIs over GUIs, but this set is ever so shrinking. I believe anyone who comes into programming after 2010 will tell you GUI tools increase their productivity over a CLI solution.

Why Use a GUI Tool?

Now that we understand the issues users face with the CLI, let’s take a look at the advantages of using a PostgreSQL GUI:

Shortcut keys make it easier to use, and much easier to learn for new users.

Offers great visualization to help you interpret your data.

You can remotely access and navigate another database server.

The window-based interface makes it much easier to manage your PostgreSQL data.

Easier access to files, features, and the operating system.

So, bottom line, GUI tools make PostgreSQL developers’ lives easier.

Top PostgreSQL GUI Tools

Today I will tell you about the 6 best PostgreSQL GUI tools. If you want a quick overview of this article, feel free to check out our infographic at the end of this post. Let’s start with the first and most popular one.

1. pgAdmin

pgAdmin is the de facto GUI tool for PostgreSQL, and the first tool anyone would use for PostgreSQL. It supports all PostgreSQL operations and features while being free and open source. pgAdmin is used by both novice and seasoned DBAs and developers for database administration.

Here are some of the top reasons why PostgreSQL users love pgAdmin:

Create, view and edit on all common PostgreSQL objects.

Offers a graphical query planning tool with color syntax highlighting.

The dashboard lets you monitor server activities such as database locks, connected sessions, and prepared transactions.

Since pgAdmin is a web application, you can deploy it on any server and access it remotely.

pgAdmin UI consists of detachable panels that you can arrange according to your likings.

Provides a procedural language debugger to help you debug your code.

pgAdmin has a portable version which can help you easily move your data between machines.

There are several cons of pgAdmin that users have generally complained about:

The UI is slow and non-intuitive compared to paid GUI tools.

pgAdmin uses too many resources.

pgAdmin can be used on Windows, Linux, and Mac OS. We listed it first as it’s the most used GUI tool for PostgreSQL, and the only native PostgreSQL GUI tool in our list. As it’s dedicated exclusively to PostgreSQL, you can expect it to update with the latest features of each version. pgAdmin can be downloaded from their official website.

pgAdmin Pricing: Free (open source)

2. DBeaver

DBeaver is a major cross-platform GUI tool for PostgreSQL that both developers and database administrators love. DBeaver is not a native GUI tool for PostgreSQL, as it supports all the popular databases like MySQL, MariaDB, Sybase, SQLite, Oracle, SQL Server, DB2, MS Access, Firebird, Teradata, Apache Hive, Phoenix, Presto, and Derby – any database which has a JDBC driver (over 80 databases!).

Here are some of the top DBeaver GUI features for PostgreSQL:

Visual Query builder helps you to construct complex SQL queries without actual knowledge of SQL.

It has one of the best editors – multiple data views are available to support a variety of user needs.

Convenient navigation among data.

In DBeaver, you can generate fake data that looks like real data allowing you to test your systems.

Full-text data search against all chosen tables/views with search results shown as filtered tables/views.

Metadata search among rows in database system tables.

Import and export data with many file formats such as CSV, HTML, XML, JSON, XLS, XLSX.

Provides advanced security for your databases by storing passwords in secured storage protected by a master password.

Automatically generated ER diagrams for a database/schema.

Enterprise Edition provides a special online support system.

One of the cons of DBeaver is it may be slow when dealing with large data sets compared to some expensive GUI tools like Navicat and DataGrip.

You can run DBeaver on Windows, Linux, and macOS, and easily connect DBeaver PostgreSQL with or without SSL. It has a free open-source edition as well an enterprise edition. You can buy the standard license for enterprise edition at $199, or by subscription at $19/month. The free version is good enough for most companies, as many of the DBeaver users will tell you the free edition is better than pgAdmin.

DBeaver Pricing

: Free community, $199 standard license

3. OmniDB

The next PostgreSQL GUI we’re going to review is OmniDB. OmniDB lets you add, edit, and manage data and all other necessary features in a unified workspace. Although OmniDB supports other database systems like MySQL, Oracle, and MariaDB, their primary target is PostgreSQL. This open source tool is mainly sponsored by 2ndQuadrant. OmniDB supports all three major platforms, namely Windows, Linux, and Mac OS X.

There are many reasons why you should use OmniDB for your Postgres developments:

You can easily configure it by adding and removing connections, and leverage encrypted connections when remote connections are necessary.

Smart SQL editor helps you to write SQL codes through autocomplete and syntax highlighting features.

Add-on support available for debugging capabilities to PostgreSQL functions and procedures.

You can monitor the dashboard from customizable charts that show real-time information about your database.

Query plan visualization helps you find bottlenecks in your SQL queries.

It allows access from multiple computers with encrypted personal information.

Developers can add and share new features via plugins.

There are a couple of cons with OmniDB:

OmniDB lacks community support in comparison to pgAdmin and DBeaver. So, you might find it difficult to learn this tool, and could feel a bit alone when you face an issue.

It doesn’t have as many features as paid GUI tools like Navicat and DataGrip.

OmniDB users have favorable opinions about it, and you can download OmniDB for PostgreSQL from here.

OmniDB Pricing: Free (open source)

4. DataGrip

DataGrip is a cross-platform integrated development environment (IDE) that supports multiple database environments. The most important thing to note about DataGrip is that it’s developed by JetBrains, one of the leading brands for developing IDEs. If you have ever used PhpStorm, IntelliJ IDEA, PyCharm, WebStorm, you won’t need an introduction on how good JetBrains IDEs are.

There are many exciting features to like in the DataGrip PostgreSQL GUI:

The context-sensitive and schema-aware auto-complete feature suggests more relevant code completions.

It has a beautiful and customizable UI along with an intelligent query console that keeps track of all your activities so you won’t lose your work. Moreover, you can easily add, remove, edit, and clone data rows with its powerful editor.

There are many ways to navigate schema between tables, views, and procedures.

It can immediately detect bugs in your code and suggest the best options to fix them.

It has an advanced refactoring process – when you rename a variable or an object, it can resolve all references automatically.

DataGrip is not just a GUI tool for PostgreSQL, but a full-featured IDE that has features like version control systems.

There are a few cons in DataGrip:

The obvious issue is that it’s not native to PostgreSQL, so it lacks PostgreSQL-specific features. For example, it is not easy to debug errors as not all are able to be shown.

Not only DataGrip, but most JetBrains IDEs have a big learning curve making it a bit overwhelming for beginner developers.

It consumes a lot of resources, like RAM, from your system.

DataGrip supports a tremendous list of database management systems, including SQL Server, MySQL, Oracle, SQLite, Azure Database, DB2, H2, MariaDB, Cassandra, HyperSQL, Apache Derby, and many more.

DataGrip supports all three major operating systems, Windows, Linux, and Mac OS. One of the downsides is that JetBrains products are comparatively costly. DataGrip has two different prices for organizations and individuals. DataGrip for Organizations will cost you $19.90/month, or $199 for the first year, $159 for the second year, and $119 for the third year onwards. The individual package will cost you $8.90/month, or $89 for the first year. You can test it out during the free 30 day trial period.

DataGrip Pricing

: $8.90/month to $199/year

5. Navicat

Navicat is an easy-to-use graphical tool that targets both beginner and experienced developers. It supports several database systems such as MySQL, PostgreSQL, and MongoDB. One of the special features of Navicat is its collaboration with cloud databases like Amazon Redshift, Amazon RDS, Amazon Aurora, Microsoft Azure, Google Cloud, Tencent Cloud, Alibaba Cloud, and Huawei Cloud.

Important features of Navicat for Postgres include:

It has a very intuitive and fast UI. You can easily create and edit SQL statements with its visual SQL builder, and the powerful code auto-completion saves you a lot of time and helps you avoid mistakes.

Navicat has a powerful data modeling tool for visualizing database structures, making changes, and designing entire schemas from scratch. You can manipulate almost any database object visually through diagrams.

Navicat can run scheduled jobs and notify you via email when the job is done running.

Navicat is capable of synchronizing different data sources and schemas.

Navicat has an add-on feature (Navicat Cloud) that offers project-based team collaboration.

It establishes secure connections through SSH tunneling and SSL ensuring every connection is secure, stable, and reliable.

You can import and export data to diverse formats like Excel, Access, CSV, and more.

Despite all the good features, there are a few cons that you need to consider before buying Navicat:

The license is locked to a single platform. You need to buy different licenses for PostgreSQL and MySQL. Considering its heavy price, this is a bit difficult for a small company or a freelancer.

It has many features that will take some time for a newbie to get going.

You can use Navicat in Windows, Linux, Mac OS, and iOS environments. The quality of Navicat is endorsed by its world-popular clients, including Apple, Oracle, Google, Microsoft, Facebook, Disney, and Adobe. Navicat comes in three editions called enterprise edition, standard edition, and non-commercial edition. Enterprise edition costs you $14.99/month up to $299 for a perpetual license, the standard edition is $9.99/month up to $199 for a perpetual license, and then the non-commercial edition costs $5.99/month up to $119 for its perpetual license. You can get full price details here, and download the Navicat trial version for 14 days from here.

Navicat Pricing

: $5.99/month up to $299/license

6. HeidiSQL

HeidiSQL is a new addition to our best PostgreSQL GUI tools list in 2021. It is a lightweight, free open source GUI that helps you manage tables, logs and users, edit data, views, procedures and scheduled events, and is continuously enhanced by the active group of contributors. HeidiSQL was initially developed for MySQL, and later added support for MS SQL Server, PostgreSQL, SQLite and MariaDB. Invented in 2002 by Ansgar Becker, HeidiSQL aims to be easy to learn and provide the simplest way to connect to a database, fire queries, and see what’s in a database.

Some of the advantages of HeidiSQL for PostgreSQL include:

Connects to multiple servers in one window.

Generates nice SQL-exports, and allows you to export from one server/database directly to another server/database.

Provides a comfortable grid to browse and edit table data, and perform bulk table edits such as move to database, change engine or ollation.

You can write queries with customizable syntax-highlighting and code-completion.

It has an active community helping to support other users and GUI improvements.

Allows you to find specific text in all tables of all databases on a single server, and optimize repair tables in a batch manner.

Provides a dialog for quick grid/data exports to Excel, HTML, JSON, PHP, even LaTeX.

There are a few cons to HeidiSQL:

Does not offer a procedural language debugger to help you debug your code.

Built for Windows, and currently only supports Windows (which is not a con for our Windors readers!)

HeidiSQL does have a lot of bugs, but the author is very attentive and active in addressing issues.

If HeidiSQL is right for you, you can download it here and follow updates on their GitHub page.

HeidiSQL Pricing: Free (open source)

Conclusion

Let’s summarize our top PostgreSQL GUI comparison. Almost everyone starts PostgreSQL with pgAdmin. It has great community support, and there are a lot of resources to help you if you face an issue. Usually, pgAdmin satisfies the needs of many developers to a great extent and thus, most developers do not look for other GUI tools. That’s why pgAdmin remains to be the most popular GUI tool.

If you are looking for an open source solution that has a better UI and visual editor, then DBeaver and OmniDB are great solutions for you. For users looking for a free lightweight GUI that supports multiple database types, HeidiSQL may be right for you. If you are looking for more features than what’s provided by an open source tool, and you’re ready to pay a good price for it, then Navicat and DataGrip are the best GUI products on the market.

Ready for some PostgreSQL automation?

See how you can get your time back with fully managed PostgreSQL hosting. Pricing starts at just $10/month.

While I believe one of these tools should surely support your requirements, there are other popular GUI tools for PostgreSQL that you might like, including Valentina Studio, Adminer, DB visualizer, and SQL workbench. I hope this article will help you decide which GUI tool suits your needs.

Which Is The Best PostgreSQL GUI? 2019 Comparison

Here are the top PostgreSQL GUI tools covered in our previous 2019 post:

pgAdmin

DBeaver

Navicat

DataGrip

OmniDB

Original source: ScaleGrid Blog

#postgresql #postgres #gui #database #db

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louisxvob343 · 4 years

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How to establish taxi reserving application

Practically each and every smartphone person provides a taxi scheduling application downloaded on their own gadget. The market for on-demand companies apps has actually been proliferating and now represents an incredible selection of options and designs.

We chose to compose this post to get rid of some gentle on what it's going to take to construct a clone of Among the most famous As well as in some ways controversial apps of recent occasions. Looking to contend with Uber’s world dominance is a daunting problem, but launching an identical company at the nationwide or regional levels looks really promising.

At Japanese Peak Now we have effectively implemented various identical tasks together with Gett, a world taxi provider, #1 for on-demand from customers corporate transportation driving 50 percent the Fortune five hundred.

To create a taxi scheduling application like Uber we must know how it really works and define its basic building blocks.

Common overview

On-need experience companies (also referred to as journey-hailing or ridesourcing products and services) like Uber are marketplaces where individuals (riders) and service companies (drivers) can link with one another.

Drivers for these providers are usually not necessarily certified professionals but are personal people who use their own autos and need to make some more money. This simplistic approach which captures a standard consumer desire is exactly what tends to make these expert services accessible Just about all over the place – something not achievable by regular taxi corporations.

A person who calls for transportation solutions simply just needs to create a request to the application. Once the ask for has been created, a notification with all the mandatory information, like The placement and level of vacation spot, is distributed to the closest driver. The driving force both accepts or rejects it.

In the case that a rejection is built, the request is allocated to the nearest driver etc. If the driver accepts the request, they travel to The client’s place to choose them up. Later on, the two the passenger and the driver get an option to level each other.

How it works underneath the hood

Launching applications of this sort of complexity entail equally consumer and server-aspect growth. They need a central server to handle interactions involving a number of people (in our circumstance passengers and drivers), to execute advanced computations (matching, cost calculation, ETA, Fee subtraction, and so forth), and organization logic and information storage capabilities. Uber maintains various geographically dispersed servers to enhance response occasions, remove failures and supply continual support availability.

Uber’s backend program is prepared making use of these types of systems as Node.js, Python, Go, Redis, MongoDB and MySQL. Moreover, it takes advantage of its possess facts center community even though also relying on third-party PaaS/IaaS vendors for example Amazon Web Solutions for many functions.

Trip-hailing products and services of this kind of magnitude as Uber are unable to do without having its individual massive computing infrastructure. Nonetheless, It will likely be sufficient to guidance your complete backend in the Preliminary levels within your undertaking working with cloud support suppliers like Amazon Website Services, Microsoft Azure, Google App Motor or Parse.

On-demand experience companies also depend seriously on diverse frameworks and APIs for navigation, on the internet payment and conversation. Uber employs Google Maps to point out the surrounding place, Core Place and Google Spot Expert services API to ascertain the user’s spot, MapKit and Google Maps Instructions API for route configuration, Braintree for payments, Twilio for SMS notifications, Apple Force Notifications Services and Firebase Cloud Messaging for drive notifications, and SendGrid for sending transactional e-mails.

The client-side of a taxi booking application like Uber consists of two interactive cellular applications – a single for demand from customers (travellers) and one particular for supply (drivers), Every with its possess list of features. There’s also will need for the online-based mostly admin dashboard which will provide the function of centralized backend-Workplace, to observe all the process and also to complete administrative steps. Shopper aspect cell apps may be developed as native applications making use of platform-unique programming languages (Java for Android or Goal-C/Swift/C++ for iOS) or cross-platform/hybrid apps applying HTML5,CSS & JavaScript. While in the context of taxi reserving application development, utilizing a local strategy is considered much more preferable.

Let’s now discover shopper-facet apps in better element, outline The essential attributes they ought to have and how to implement them.

Needs to have features for the two Driver and Passenger apps:

1. Registration and Authentication

Uber like applications must present social websites and electronic mail/password signup and login performance. Creating a profile, past increasing buyer retention, is required for companies that entail mobile payments. As yet another necessity for drivers, profiles must be verified and accredited via the support administration.

2. Profile modifying

Travellers and motorists should be capable of effortlessly edit their own profiles: identify, Image, cell phone number, email, etcetera. The motive force app must also include the driving force’s license and information about the vehicle (manufacturer and calendar year of creation, car or truck class, shade, license plate amount) and its Image. Both of those the driving force and also the passenger need to have the ability to view each other’s profile. With this data, they might understand one another within the pickup site. This will help minimize anxiety and offers a sense of security.

three. Matching

Matching permits a passenger to routinely connect with the closest out there driver. It’s a fancy algorithm which will take into account a number of components: places of your passenger and nearby drivers (Uber displays approximately eight motorists), motorists’ standing and their rating, vehicle versions, and so on. The driver has a couple of seconds to just accept the request (Uber offers fifteen seconds) just before it goes to the following driver.

Some taxi scheduling providers allow for travellers to choose the driver manually. At present Uber doesn’t make it possible for this selection.

You could also include an option to customise the matching algorithm. One example is, a driver could set a spot filter and be matched only with Those people riders who are interested in traveling in precisely the same route.

four. Navigation

At the center of a place-primarily based application like Uber is the technology of GPS tracking, all over which all the things else is built on. It makes it possible for to discover latest spots of passengers and motorists, draw paths between them, established pickup and drop-off destinations, track the motion of autos and in some cases compute the cost of the ride along with the ETA (estimated time of arrival). These details sets are sent to the server for even more processing and broadcasting to other customers in that exact place.

A lot of geolocation, https://androiddevelopers.co/united-states/california/sandiego orientation, and mapping APIs will also be used when constructing apps with navigation options.

5. Notifications

Now most experience-hailing apps use a few options to notify consumers about critical occasions: SMS, press notifications and e-mail. Thrust notifications is often implemented making use of absolutely free utilities furnished by platform suppliers: Apple Push Notification Provider for iOS and Firebase Cloud Messaging for Android, or third-occasion cross-platform utilities like OneSignal.

To put into practice SMS notifications Uber utilizes Twilio but there’re a number of other equivalent services companies: Plivo, Nexmo or Sinch.

For sending advertising and transactional e-mails Uber employs SendGrid.

six. Analyzing and exhibiting the expense of a trip

The two the driver as well as the passenger must know the estimated fare beforehand. As we talked about previously, calculating the actual fare with the trip will likely be performed within the server-facet. It could entail the subsequent parameters and elements: the distance between pickup and fall-off areas, cost of fuel, probable reductions, auto class, traffic and weather conditions, peak several hours and many others.

Uber makes use of the so-named ‘surge pricing’ approach and improves its regular fares when demand from customers for rides exceeds supply, which happens to be currently a really controversial aspect and Lots of people have already been complaining about it due to the fact its introduction. We don’t recommend implementing this feature, no less than originally, mainly because it could repel buyers.

seven. Creating payments

This really is how it works inside of Uber’s application:

Uber has partnered with Braintree to securely acknowledge payments throughout the app. All payments are cashless, so once the ride has done, payment is withdrawn mechanically with the payment gateway. There are plenty of other on-line payment providers like Stripe, Worldpay or Adyen. They provide sturdy APIs, that can certainly be built-in into cellular applications. All of these are optimized for World-wide-web, cellular and in-app purchases. They assist significant bank cards like Visa, MasterCard, American Categorical and digital wallets like Apple Shell out, Walmart Shell out, Android Pay back and plenty of Some others.

Uber makes income by charging drivers a twenty% Fee on all rides booked by means of it. Payments are transferred to the driver’s account every week.

Regular cash payments really should not be fully eradicated. Paying out in income continue to remains the dominant payment technique in a few international locations, in rural spots or for some classes with the inhabitants like senior citizens and teenagers.

8. Ranking and responses

Travellers and drivers ought to have the capacity to price each other after the journey is around. This feature aids keep a large standard of service. Drivers with small scores will at some point not be capable to use the support. If a passenger features a lower ranking, it might be more durable for him to get a journey. Travellers must also have the ability to offer suggestions on their own working experience through the vacation. This suggestions will probably be shown in the motive force’s profile for Other people to view.

Analyzing the ranking of equally the need (passengers) and the provision (motorists) can help you discover strengths and weaknesses in the assistance and make enhancements where by wanted.

nine. Reserving and payments historical past

Both motorists and passengers need to be able to check out comprehensive data about previous visits from their profiles: date, time, Value, driver/passenger name, automobile design, pickup and drop-off locations, score etcetera.

10. Reserving cancellation

Motorists and passengers should have the ability to terminate a experience. In the situation of the cancellation, a rate can be charged.

Ought to-have capabilities for the Passenger App:

Tracking close by motorists

Capacity to set the pickup site around the map without having typing an tackle

Capacity to see pertinent facts about the driver: name, Image, contact facts, rating, car kind, and ETA (approximated time of arrival)

Notification upon taxi arrival

Choosing automobile typeRiders needs to be ready to choose between different classes of motor vehicles (In the situation of Uber you'll find UberX, UberXL, UberSelect and Uber BLACK). Needless to say, the fares will differ depending on the form of motor vehicle

Sharing rides with other passengersA rider must manage to share a reserving with One more rider who’s heading in a similar path and break up the price

Most loved addresses for handy long term bookings

Should-have characteristics for the Driver Application:

Finding passenger on map

Power to see appropriate facts regarding the passenger: title, photo (optional), Get hold of data, rating, number of travellers;

Power to settle for or deny requests

Placing position (Go Online / Go offline)The “Log on” standing permits passengers to find out motorists about the map and have interaction them. The “Go offline” standing will temporarily cover the driving force from remaining tracked.

Admin panel

The admin panel will likely be an internet-based mostly interface that can help take care of your entire assistance: handle back-end settings, handle drivers, passengers, requests, transactions, look at passengers and motorists’ routines, figures, and produce reports.

Website-based buying portal

As an extra choice for passengers you could Establish an on-line Net portal that can duplicate the features of the Passenger cellular app and permit them to create requests ideal in the browser without the require for any mobile app.

MVP

You don’t have to fill the product with all the above mentioned-described Innovative features when releasing it to the market. We suggest getting started with a Least Practical Product (MVP) – the initial Edition with the item that will include things like both equally Passenger and Driver applications along with the Admin Panel Using the most basic and indispensable features simply to ‘check the waters’ of the marketplace.

How long will it take to acquire an MVP for an application like Uber

Below’s an approximate list of features for a taxi booking app MVP and our rough estimate of the amount advancement time it will acquire:

Functional technical specs and layout

Making a in-depth useful specification to the conclusion product and UI/UX style and design – one hundred twenty-150+ several hours

Superior-amount design and style: Database schema, third party integrations, know-how stack, etc. – fifty+ hrs

Acquiring an application for only one platform

Making an application for iOS and Android can take 2 times as while.

Registration (in-app or by means of social networking sites) – 32-40 hours

Consumer profile – 16-24 hours

Driver profile – sixteen-24 hrs

Putting an buy (customer) – 80-ninety six hrs

Booking (driver) – 48-fifty six hours

Pickup area and route – 32-forty hours

Booking heritage (shopper)- sixteen-24 hrs

Reserving background (driver)- sixteen-24 several hours

Payment (include a card, integrating payment API, computerized payment after the purchase is entire) – forty-forty eight hours

Backend development

Database schema – 24 hours

Organization logic – 240 hrs

Admin dashboard – a hundred and sixty several hours

Technique general performance report – a hundred and sixty hours

Top quality Assurance

QA commonly provides about 30% additional to the event time.

You should Notice, that this is really an approximate estimate based upon our preceding undertaking in taxi scheduling app development. The development time of similar task may possibly vary with regards to the UI/UX complexity, challenge specifics and enterprise logic complexity.

Increasing the performance

One example is, there’s no have to have to include rating and opinions functionalities, Price tag splitting or preferred addresses to the MVP or develop the world wide web-primarily based purchasing portal. These capabilities offer added worth, but you can save Preliminary fees and depart it for afterwards date. Working with only thrust notifications to establish a link in between motorists and travellers will likely be adequate. Here’s a list of other attributes which could be extra later:

scheduled rides

discount rates and free rides

power to choose drivers (presently Uber doesn’t provide this selection)

desired destination filter for motorists

paid waiting around time for drivers

dynamic pricing (surge pricing)

in-application chat

voice-pushed Guidance

in-app suggestion element

insurance coverage

multi-language aid

promo codes

gamification

In addition to the most simple and indispensable characteristics we’ve protected in this post, an MVP could also contain Unique advertising functions to aid get initial shoppers (each motorists and riders) and market your application in these techniques

signup bonuses

tipping motorists to stay on the web even if there’s no demand

free of charge rides for new travellers in the expense on the services

no commission For brand spanking new motorists for the first three months

The way to get going?

The products discovery section is the greatest initial step you might take to put a good foundation for the event of the app. It features a functional specification, UX/UI structure, and a visible prototype that provides you with a clear eyesight of the tip merchandise. On typical, this phase can take 4-6 months.

The item discovery phase will help you:

define a full scope of work and acquire a roadmap for the challenge set a realistic spending plan for the MVP and strategy your sources, examination the waters together with your audience applying a visual prototype, craft a convincing expenditure pitch, get to learn your workforce

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app-development-solutions · 4 years

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On-Demand Music Streaming App- Features and Costs

The first time we heard music on our mobile phones was way back, almost a couple of decades ago. That too was through the in-built radio.

Back to the present, and there has been a complete revolution of sorts about how we have been going about to satisfy our craving for some good music to suit our varying moods. This revolution has been powered by a truly cutting-edge music streaming app development.

The Era Of Music Streaming

The rapid rise of the music streaming domain over the last few years has prompted a number of companies to foray into on-demand music app development as a profitable avenue. With people looking for something to keep themselves engrossed, these apps have proven to be the perfect antidote.

Music Streaming Apps- Types

As far as the types or categories of music streaming apps are concerned, there are three broad kinds-

On-Demand Music Streaming App

On-demand music streaming app allows the users to access a huge number of music tracks that are within the range of different accessibility terms of the app. Such apps can either be free or offered with a paid subscription.

To entice more premium buyers, some premium features can be offered free for a limited period of time. Spotify is a great example of such an app.

Cloud Storage-based App

Such music apps allow the upload and sharing of audio files and file transfer via the cloud. Basically, users get access to the ability to host files on their own, wherein they become the providers of cloud space for song back-ups.

Some of the known apps in the cloud storage music app arena are Groove Music and Google Play among others.

Virtual Radio RJ Apps

These apps don’t give users the flexibility to play songs on demand, but they offer an interface that is reminiscent of a jockey that plays music as per the preferences of a user. It’s important to note that these apps are perhaps the most economically priced music apps, as they bring no licensing complications in their working.

Shoutcast is the prime instance of an app here.

Music Streaming Apps- Features That You Can’t Ignore

Any sort of entertainment app development brings with it the need to incorporate a multitude of features for an app that needs to deliver a number of functions with easy navigation throughout the app.Music apps are no different in this regard. Let’s have a look into some features that can’t be ignored at all-

Onboarding and Registration

This is one feature that needs to be as quick and simple as possible. Other than those time-consuming process of sign-up forms, it can be made simple by allowing the sign-up through social media profiles like Facebook.

A Smart Search

A simple search bar is not enough, the way competition is increasing. The entire search process needs to be smarter, where relevant options also come up, related to a particular search.

The My Music Feature

Allowing users the freedom to use the music app as they like is something that can’t be ignored. Let them make their own multiple playlists, add or delete them, have it the same with songs, and just allow them to have fun in the app.

Easy To Understand Settings

Modifying the different app and audio settings are something that blows a new life in the complete user experience of music streaming apps. Auto downloading, synchronization on multiple devices, and more such settings.

Cost of Developing a Music Streaming App

To develop a music streaming app, there are a number of factors that come into play. Like all other kinds of apps, the cost of music streaming apps too depend on the kind of technology and features that you wish to see in your music app.

Other than this, the location of your service provider, the number of platforms where the app is to be drafted, and the requisite charges are also the ones that come into play.

A music streaming app with the basic features can cost you somewhere between $25,000 to $60,000. However, for a feature-loaded app with more functions, the cost can go up to around $150,000 as well.

Music Streaming Apps- Tech Stack

The right set of technology for your music streaming app is integral to the overall app success. To draft a seamless and interactive app, a smart choice of technology can be the perfect recipe for success.

· Front-end- CSS, Java, Swift, Bootstrap

· Back-end- Ruby, Angular JS, Python, JavaScript

· Cloud- AWS, Azure, Google

· Notifications- Twilio, Push.io

· Device Verification- Nexmo, Twilio

· OS- Android, iOS

· Database- Postgress, Hbase, MongoDB

· Live Analytics- Hadoop, Cisco, IBM

· DevOps- Datadog, TestFlight

Licensing and Monetization

No music streaming app can work without proper licensing. Rotation of music content involves the payment of royalties to the rightful, well, rightsholders. Not pertaining to this procedure brings in the violation of copyrights, something that can jeopardize the harmonious drafting of your app.

To get the license for your music streaming app, you will be requiring the Public Performance Rights.

In the USA, the handling of the entire process is done by a couple of agencies-

· Broadcast Music Incorporated

· ASCAP (American Society of Composers, Authors & Publishers)

Once you have purchased the licensing rights and hired a great team of developers to make it see the light of the day, it is important to give a lot of thought to the profit aspect as well.

Other than providing users with a great UI/UX with engaging content to keep them hooked, there are a number of monetization plans and strategies to generate profitable revenue from the music streaming app.

These two ways are the best ones for the purpose-

Advertisements

Subscriptions

Monthly or annual subscriptions are amazing ways to access unlimited music, such as Apple Music. It’s a pretty popular way as there are licensing fees involved in copyrighted music.

Consider Consagous Technologies

If you are looking to get a music streaming app developed, and on the hunt for a quality

entertainment and media app development

, look no further than Consagous Technologies. With more than a decade of experience in coming up with cutting-edge mobile app development, the team at Consagous has the perfect idea about your needs and requirements. Get in touch with the team today!

Original Source:

https://www.consagous.co/blog/on-demand-music-streaming-app-features-and-costs

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endivesoftware · 4 years

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How to Create a Multi-Vendor Marketplace App

Marketplaces bridge the gap between sellers and buyers. Commerce giants like Alibaba, Amazon, eBay, Etsy, and OLX have revolutionized the digital world as they have converted physical stores into online stores. Moreover, the multi-vendor marketplace has proved to be the best and profitable tool for buyers and sellers. In simple words, multiple vendors sell their products on a single page and the admin earns commission from sales, which seems easy. Isn't it?

With increasing technological advancement and changing customer behavior, online business models have made their way into every business domain. Customers want to have the same experience in online shopping as they used to get in physical stores or shopping malls. No doubt, customers love doing shopping online, but they feel exhausted in browsing for the products on multiple websites. The multi-vendor marketplace has made its way easier to make shopping effortless and enjoyable.

According to the 2017 eCommerce marketplace statistics, the business of online shopping was near about $2.3 trillion. And, because of rapid growth in the sales of this sector the market will hit $4.5 trillion by 2021 (based on a Statista report).

What is a Multivendor Marketplace?

A multi-vendor marketplace is a single platform where multi-sellers can list their products with ease. On the other hand, a multi-vendor marketplace platform enables customers to buy products from different suppliers.

For example- Amazon is a marketplace where you as a seller can create your digital store and sell your products directly to the customers. In return, you will have to pay a commission to Amazon for each product you sold.

Types of Online Marketplace

The multi-vendor marketplace is all about selling, buying, and services offered by resellers to the end-customers.

Buyer-oriented e-marketplace

Supplier-oriented e-marketplace

Vertical and Horizontal e-marketplaces

Independent e-marketplace

eCommerce Target Audience

B2B (Business to Business)

B2C (Business to Customer)

C2C (Customer to Customer)

If you are planning to build a marketplace platform to sell your products or services online? Remember, you will require a lot of work on a daily basis. You as an admin himself has to keep a track of everything like complex inventory, shipping, manage return products, payment, customer service, and more.

You can think about a multi-seller marketplace development. However, you will require a lot of work during the web and mobile app development but not for long. Once development is completed, add sellers and earn a commission from each sale.

The advantage of a multi-seller marketplace is that the traffic that you will get from a multiple seller store is much higher than what you’ll get from a single seller store.

How to Create a Multi-Vendor Marketplace App

Here we are going to discuss the features of mobile app that you can consider for your multi-seller marketplace mobile application.

Key Features of Buyers App

Social & Sign-Up Login

Product Listing With Features

Product Detail Page

Ratings & Reviews

Favourite Listing

Questions & Answers

User Profile

Billing & Shipping Addresses

Delivery Status

Add To Cart

Checkout Page

Order History & Tracking

Key Features Of Sellers App

Social And Sign-Up Login

The Product, Order, Returns, And Inventory Management

Reports & Analysis

Offers & Discounts

Settlement Module

Feedback & Seller Support

Notifications

Reviews & Ratings

Key Features of Admin App-

Advanced Application Setting

User Management

Seller Management

Logistics & Banner management

Subscription Management

Payment & Refunds Management

Category Management

Feedback & Support

Reports & Analysis

Marketplace App Development- Advanced Features That You Must-have In Your App-

1. Easy Registration Using Social Channels-

What users want is an easy registration. And it is very easy to make a registration process easy. Not every multi-seller marketplace app provides an easy registration to its end-users. And it is one of the reasons behind the increasing number of users. So the integration of easy registration with social channels will help you retain existing and meet new customers as well.

2. Social Media Integration

Social media channels are the best way to retain existing and engage new customers to eCommerce marketplace applications. Various multi-seller marketplace apps have this feature to make login/signup fast, quick, and secure.

3. Multiple Payment Options

With changing customer behavior, multi-vendor marketplace apps need to have multiple payment options. Integrate different payment gateways into your eCommerce website to allow customers to make the payment of their choice for the products.

It may increase Amazon clone app cost but also help your customers to make their payments via Debit Card, Credit Card, Cash On Delivery, e-Wallet, and many more.

4. Multilingual

Integrate this feature in your app to provide your customers with a unique shopping experience. Using this feature, users would be able to browse products or services in their native language and make shopping easy and smooth.

5. Subscription

Subscription is one of the best features that make your app stand out. You can keep this feature in mind while developing a mobile app for multiple vendors. This is beneficial for buyers as they can get maximum benefits like free-delivery, fast-delivery, early access, and many more.

6. Auto-tax Calculation

Auto-tax calculation helps you calculate the tax based on the product cost. It is important for an online business to have this feature in their mobile applications to automate the tax calculation.

7. Predictive Search

You should consider this feature in your app so that customers can search for the products by category, offers/discounts, prices, and many more. With this smart search feature, you are only going to make it easier for the users to find what they want to buy.

8. Product Tracking

This feature will provide your customers live status of the products they bought from your app. You can notify them via text message or notification. Users are also able to locate the product location manually using the mobile app.

What Monetization Models Should Be Followed To Create An Online Marketplace?

You can choose Monetization Models from amongst these 5 business models to create an online multi-vendor marketplace:

Commission

Listing Fee

Subscription Fee

Advertising

Featured Listings

Technology Stack-

Technologies that you can consider to run your marketplace app smoothly and fast.

Programming languages- Java, PHP, and Python.

Mobile development- Android – Java, iOS – Swift, cross-platform – React Native

Front-end- Angular, ReactJS, HTML5, CSS

Back-end- Node.js

Cloud Environment- Amazon Web Services (AWS), Google, Azure

Analytics- Google Analytics

Marketing Automation- HubSpot, MailChimp (for e-mails)

Databases- PostgreSQL, MySQL, MongoDB

Payments- Stripe, Braintree, and PayPal

AI and Machine Learning- for Virtual Assistants

What Team Structure is Required

A dedicated and experienced team of developers and professionals always ensures to add more value to your product/services. A team of mobile app developers (iOS and Android) is quite enough for a successful multi-vendor marketplace app development, while an experienced UI developer will take care of the design section of the app.

Project Manager

UX/UI Developers

Android/IOS developers

Backend Developers

QA Teams

Delivery Manager

How much it cost to build a multi-vendor marketplace app like Amazon-

Well, the development cost of a multi-vendor marketplace app like Amazon largely depends on the type of functionalities you want to integrate into your app. However, an approximate value for a simple marketplace app may cost around $30,000 - $35,000, whereas a more sophisticated solution may go beyond $50,000.

Conclusion-

Want to build a multi-vendor marketplace app like Amazon? There are various mobile app development companies in India, but finding the right one might be a hard job. We recommend you hire a mobile app developer or mobile app development company in India that has an excellent development record.

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globalmediacampaign · 4 years

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Migrating relational databases to Amazon DocumentDB (with MongoDB compatibility)

Relational databases have been the foundation of enterprise data management for over 30 years. But the way we build and run applications today, coupled with unrelenting growth in new data sources and growing user loads, is pushing relational databases beyond their limits. This can inhibit business agility, limit scalability, and strain budgets, compelling more and more organizations to migrate to alternatives like NoSQL databases. Amazon DocumentDB (with MongoDB compatibility) is a fast, scalable, highly available, and fully managed document database service that supports MongoDB workloads. As a document database, Amazon DocumentDB makes it easy to store, query, and index JSON data. To get started with Amazon DocumentDB, see Getting Started with Amazon DocumentDB (with MongoDB compatibility). If your data is stored in existing relational databases, converting relational data structures to documents can be complex and involve constructing and managing custom extract, transform, and load (ETL) pipelines. Amazon Database Migration Service (AWS DMS) can manage the migration process efficiently and repeatably. With AWS DMS, you can perform minimal downtime migrations, and can replicate ongoing changes to keep sources and targets in sync. This post provides an overview on how you can migrate your relational databases like MySQL, PostgreSQL, Oracle, Microsoft SQL Server, and others to Amazon DocumentDB using AWS DMS. Data modeling Before addressing the mechanics of using AWS DMS to copy data from a relational database to Amazon DocumentDB, it’s important to understand the basic differences between relational databases and document databases. Relational databases Traditional relational database management system (RDBMS) platforms store data in a normalized relational structure and use structured query language (SQL) for database access. This reduces hierarchical data structures to a set of common elements that are stored across multiple tables. The following diagram provides an overview of the structure of the Employees sample database. This image was taken from MySQL’s employees sample database under the Creative Commons Attribution-ShareAlike license. No changes have been made. When developers need to access data in an application, you merge data from multiple tables together in a process called as join. You predefine your database schema and set up rules to govern the relationships between fields or columns in your tables. RDBMS platforms use an ad hoc query language (generally a type of SQL) to generate or materialize views of the normalized data to support application-layer access patterns. For example, to generate a list of departments with architects (sorted by hire date), you could issue the following query against the preceding schema: SELECT * FROM departments INNER JOIN dept_emp ON departments.dept_no = dept_emp.dept_no INNER JOIN employees ON employees.emp_no = dept_emp.emp_no INNER JOIN titles ON titles.emp_no = employees.emp_no WHERE titles.title IN (‘Architect’) ORDER BY employees.hire_date DESC; The preceding query initiates complex queries across a number of tables and then sorts and integrates the resulting data. One-time queries of this kind provide a flexible API for accessing data, but they require a significant amount of processing. If you’re running multiple complex queries, there can be considerable performance impact, leading to poor end-user experience. In addition, RDBMSs require up-front schema definition, and changing the schema later is very expensive. You may have use cases in which it’s very difficult to anticipate the schema of all the data that your business will eventually need. Therefore, RDBMS backends may not be appropriate for applications that work with a variety of data. However, NoSQL databases (like document databases) have dynamic schemas for unstructured data, and you can store data in many ways. They can be column-oriented, document-oriented, graph-based, or organized as a key-value store. This flexibility means that: You can create documents without having to first define their structure Each document can have its own unique structure The syntax can vary from database to database You can add fields as you go For more information, see What is NoSQL? Document databases Amazon DocumentDB is a fully managed document database service that makes it easy to store, query, and index JSON data. For more information, see What is a Document Database? and Understanding Documents. The following table compares terminology used by document databases with terminology used by SQL databases. SQL Amazon DocumentDB Table Collection Row Document Column Field Primary key ObjectId Index Index View View Nested table or object Embedded document Array Array Using Amazon DocumentDB, you can store semi-structured data as a document rather than normalizing data across multiple tables, each with a unique and fixed structure, as in a relational database. Fields can vary from document to document—you don’t need to declare the structure of documents to the system, because documents are self-describing. Development is simplified because documents map naturally to modern, object-oriented programming languages. The following is an example of a simple document. In the following document, the fields SSN, LName, FName, DOB, Street, City, State-Province, PostalCode, and Country are all siblings within the document: { "SSN": "123-45-6789", "LName": "Rivera", "FName": "Martha", "DOB": "1992-11-16", "Street": "125 Main St.", "City": "Anytown", "State-Province": "WA", "PostalCode": "98117", "Country": "USA" } For more information about adding, querying, updating, and deleting documents, see Working with Documents. Amazon DocumentDB is designed to work with your existing MongoDB applications and tools. Be sure to use drivers intended for MongoDB 3.4 or newer. Internally, Amazon DocumentDB implements the MongoDB API by emulating the responses that a MongoDB client expects from a MongoDB server. Therefore, you can use MongoDB APIs to query your Amazon DocumentDB database. For example, the following query returns all documents where the Item field is equal to Pen: db.example.find( { "Item": "Pen" } ).pretty() For more information about writing queries for Amazon DocumentDB, see Querying. Let’s say that you have a table in your relational database called Posts and another table called Comments, and the two are related because each post has multiple comments. The following is an example of the Posts table. post_id title 1 Post 1 2 Post 2 The following is an example of the Comments table. comment_id post_id author comment 1 1 Alejandro Rosalez Nice Post 2 1 Carlos Salazar Good Content 3 2 John Doe Improvement Needed in the post In order to get the comments of a post with title “Post 1”, you will need to execute an expensive JOIN query similar to below: SELECT author, comment FROM Comments INNER JOIN Posts ON Comments.post_id = Posts.post_id WHERE Posts.title LIKE “Post 1"; While modelling data for documents, you can create one collection of documents that represents a post with an array of comments. See the following output: { "_id" : NumberLong(1), "title" : "Post 1", "comments" : [ { "author" : "Alejandro Rosalez", "content" : " Nice Post" }, { "author" : "Carlos Salazar", "content" : " Good Content" } ] } { "_id" : NumberLong(2), "title" : "Post 2", "comments" : [ { "author" : "John Doe", "content" : " Improvement Needed in the post" } ] } The following query will provide the comments for the post with title as “Post 1”: rs0:PRIMARY> db.posts.find({ “title”: “Post 1” }, {“comments”: 1, _id: 0}) { “comments” : [ { “author” : “Alejandro Rosalez”, “content” : ” Nice Post” }, { “author” : “Carlos Salazar”, “content” : ” Good Content” } ] } For more information about data modeling, see Data Modeling Introduction. Solution overview You can use AWS DMS to migrate (or replicate) data from relational engines like Oracle, Microsoft SQL Server, Azure SQL Database, SAP ASE, PostgreSQL, MySQL and others to an Amazon DocumentDB database. You can also migrate the data from non-relational sources, but those are beyond the scope of this post. As depicted in the following architecture, you deploy AWS DMS via a replication instance within your Amazon Virtual Private Cloud (Amazon VPC). You then create endpoints that the replication instance uses to connect to your source and target databases. The source database can be on premises or hosted in the cloud. In this post, we create the source database in the same VPC as the target Amazon DocumentDB cluster. AWS DMS migrates data, tables, and primary keys to the target database. All other database elements are not migrated. This is because AWS DMS takes a minimalist approach and creates only those objects required to efficiently migrate the data. The following diagram shows the architecture of this solution. The walkthrough includes the following steps: Set up the source MySQL database. Set up the target Amazon DocumentDB database. Create the AWS DMS replication instance. Create the target AWS DMS endpoint (Amazon DocumentDB). Create the source AWS DMS endpoint (MySQL). Create the replication task. Start the replication task. Clean up your resources. As a pre-requisite, we just need an AWS Account and an IAM user which has appropriate access permissions. This walkthrough incurs standard service charges. For more information, see the following pricing pages: AWS Database Migration Service pricing Amazon DocumentDB (with MongoDB compatibility) pricing Amazon EC2 pricing Setting up the source MySQL database We first launch an Amazon Linux 2 EC2 instance and install MySQL server. For instructions, see Installing MySQL on Linux Using the MySQL Yum Repository. Then, we load the sample Employee database with the structure as shown in the beginning of the post. We used the following commands to load the sample database: git clone https://github.com/datacharmer/test_db.git cd test_db mysql -u root -p -t show dbs; employees-docdb 1.095GB The following query switches to use the employees-docdb database: rs0:PRIMARY> use employees-docdb; switched to db employees-docdb The following query lists all the collections in the employees-docdb database: rs0:PRIMARY> db.getCollectionNames() [ "departments", "dept_emp", "dept_manager", "employees", "salaries", "titles" The following query selects one document from the departments collection: rs0:PRIMARY> db.departments.findOne() { "_id" : { "dept_no" : "d009" }, "dept_no" : "d009", "dept_name" : "Customer Service" } The following query selects one document from the employees collection: rs0:PRIMARY> db.employees.findOne() { "_id" : { "emp_no" : 10001 }, "emp_no" : 10001, "birth_date" : ISODate("1970-09-22T11:20:56.988Z"), "first_name" : "Georgi", "last_name" : "Facello", "gender" : "M", "hire_date" : ISODate("1986-06-26T00:00:00Z") } The following query counts the number of documents in the employees collection: rs0:PRIMARY> db.employees.count() 300024 Cleaning up When database migration is complete, you may wish to delete your AWS DMS resources. On the AWS DMS dashboard, choose Tasks in the navigation pane. Locate the migration task that you created earlier and click on drop-down Actions button and choose Delete. In the navigation pane, choose Endpoints. Choose the source and target endpoints that you created earlier and click on drop-down Actions button and choose Delete. In the navigation pane, choose Replication instances. Choose the replication instance that you created earlier and click on drop-down Actions button and choose Delete. Summary AWS DMS can quickly get you started with Amazon DocumentDB and your own data. This post discussed how to migrate a relational database to Amazon DocumentDB. We used an example MySQL database and migrated a sample database to Amazon DocumentDB. You can use similar steps for migration from a different supported RDBMS engine to Amazon DocumentDB. To learn more about Amazon DocumentDB, see What Is Amazon DocumentDB (with MongoDB Compatibility). To learn more about AWS DMS, see Sources for AWS Database Migration Service and Using Amazon DocumentDB as a target for AWS Database Migration Service. About the Author Ganesh Sawhney is a Partner Solutions Architect with the Emerging Partners team at Amazon Web Services. He works with the India & SAARC partners to provide guidance on enterprise cloud adoption and migration, along with building AWS practice through the implementation of well architected, repeatable patterns and solutions that drive customer innovation. Being an AWS Database Subject Matter Expert, he has also worked with multiple customers for their database and data warehouse migrations. https://aws.amazon.com/blogs/database/migrating-relational-databases-to-amazon-documentdb-with-mongodb-compatibility/

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howcaniimprovemyessay344 · 4 years

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10 Shops Where Players Can Buy Amazing Custom Switch Decals

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tak4hir0 · 5 years

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It starts with someone posting an AWS press release in the company chat. “AWS Announces FooBar,” the headline reads. The announcement skirts around technical details, as usual, but contains a worrying amount of buzzwords that overlap with the company’s product. Somebody responds with a grimace emoji 😬. Others reply with all the ways AWS FooBar is totally not like our product and, anyway, ours is better, and, and… The flurry of replies betrays their true collective emotion: We’re screwed. They’re right to be worried. As a marketing consultant to enterprise software startups for the past six years, I’ve helped companies navigate and succeed in this scenario at least eight times.[1] In this article I explain why every software startup should be prepared for this scenario, why the initial panic is justified, and how to position products against alternatives from “Big Cloud” (AWS, Azure, GCP). Every Software Startup Should Be Prepared to Compete Against AWS, Azure, and GCP Even if you’re not competing with Big Cloud today, there’s a good chance you will soon. This is especially true if your product is in the serverless, stream processing, machine learning, containerization, IoT, data warehousing, or batch processing space. Those are the fastest growing cloud services—according to a survey from Rightscale—and Big Cloud companies know it. Big Cloud companies earn the bulk of their revenues from metered billing of storage, compute, and streaming. Having turned those infrastructure workloads into commodities, the Big Cloud companies are in a race to provide differentiated products higher in the stack just to bring more customers onto their infrastructure. That is evident in the sheer size of their product portfolios and pace of product releases: AWS has 182 products and made 83 major product announcements (launches or major releases) in 2018.[2] You Should Worry When Big Cloud Launches a Similar Product There is a tendency, upon learning of a Big Cloud intrusion, to bury our heads. Internal emails will include explanations for why the Big Cloud product “is not really competitive,” “is not as good as ours,” and “can only take a small piece of the market.” Maybe those things turn true, but there are good reasons to at least take the competition seriously: 1. Resource Imbalance Big Cloud companies can win by brute force: Pouring obscene amounts of resources into engineering, marketing, and sales until they outrun or outlast the competition. It won’t be enough to have a better product by a smidgen, or to have a small head start in the market. 2. Complicated Relationship Startups participating in Big Cloud partner programs, such as the AWS Partner Network, will find themselves sharing sensitive information and valuable resources with the competition. For them, leaving the program would mean relinquishing a potentially significant acquisition channel. Meanwhile, Big Cloud wouldn’t flinch at losing a startup partner, and therefore has no incentive to be prudent with the information it obtains. 3. Broad Reach and Influence AWS can get on stage and influence a thousand people, or send an email and influence a hundred thousand, or play a TV commercial and influence millions. Using their broad reach and brand recognition, Big Cloud can influence how people perceive the market and make their decisions. 4. Captive Audience Even better than a reachable audience is a captive audience. Big Cloud companies have millions of users, already running on their platforms and familiar with their products. They can reach this audience to upsell and cross-sell products in a few clicks. 5. Pricing The objective for most Big Cloud products is not to make profit, but to bring customers onto the platform and increase infrastructure usage (compute, storage, streaming). Therefore the products can be users as loss leaders: Priced at very low or no cost, provided they drive increased infrastructure usage. For startups, at best this eliminates the option to compete on price, at worst it forces them to lower prices with no way to make up for it. 6. Easy Access Engineers at companies already running on AWS can buy, deploy, and integrate an AWS product before their coffee cools. Metered billing means there are no upfront costs or negotiations. Being on the same platform means seamless integration between tools and services. 7. Early decision In the past, decision makers had to choose whether to build a solution in-house or purchase software from a vendor. Today, the low prices, easy access, and brainshare of Big Cloud offerings create a new option for decision makers: Use what their cloud platform is offering. It used to be “buy vs build.” Now it’s “buy vs build vs big cloud.” For software startups, this means they can be ruled out even earlier in the buying process, before any conversation, evaluation, or feature comparison takes place. How to Win Against Big Cloud Prepare Attend trade shows, seek out insiders who might tip you off about looming competition, and generally keep an ear to the ground. Advance warning will allow you to dredge a wider moat, prepare a response, and avoid company-wide panic when the press release hits. Having a pre-emptive strategy for competing against Big Cloud will make it possible to ride the initial wave of hype following their announcement, leveraging their campaign to bring attention to your own product, and pulling away from other startups who will be caught by surprise. With the right strategy and execution, the launch of a competitive product from Big Cloud could be turned into a positive inflection point for the startup and its market. Even if you are not competing against Big Cloud now, good preparation will improve reaction time and chances of succeeding when the moment comes. If your product even remotely encourages more use of cloud compute, storage, or streaming, then you should prepare. Support Multi-Cloud According to the same survey by Rightscale, 84% of enterprise organizations have applications and workflows scattered across on-prem, private cloud, and public cloud environments. If you are “the #1 solution for X on AWS,” and AWS launches a solution for X, you become a distant second choice. If your product works across a variety of environments, then it will remain a viable—and probably better—option for buyers that want to solve an organization-wide problem. Those buyers will need a solution that works across their entire infrastructure, not just the part on AWS. Support for multi-cloud and hybrid environments is one of the most common reasons I hear from decision makers for why they bought software instead of using the cloud offering. Multi-cloud and hybrid-environment support could be a decisive advantage over Big Cloud offerings. And, unlike a small lead in features, this advantage will last a while: Big Cloud companies have little incentive to make products for other platforms. With options like Kubernetes and Gravity, adding that capability to products may not require a monumental engineering effort. Think Twice Before Open-Sourcing While it helps with awareness and credibility, open-sourcing products in whole or in part lowers the barrier to entry for competitors. For any new and sufficiently popular open-source product X, it is trivial for Big Cloud to introduce a “Managed X” offering, as AWS did with Elasticsearch, or to pair it with their security products and package it as “X for Enterprise,” as AWS did with MongoDB and as Google did with Kubernetes. (The Kubernetes story has a few fun twists in it: First, the company Docker released an open-source containerization product. By the time they launched a paid container management service, Google already developed and open-sourced their own container management solution, Kubernetes, which won the market. Then, after Docker released an enterprise solution for managed containers, Google beat Docker once again with the launch of Google Kubernetes Engine.) For example, when AWS launched a “Fully managed, scalable, and secure” packaging of the open-source software Elasticsearch, it led the makers of that software to admit: “… Amazon competes with us for potential customers, and while Amazon cannot provide our proprietary software, the pricing of Amazon’s offerings may limit our ability to adjust the price of our products.” The questionable benefits of open-core business models, combined with the vulnerability it opens to competition from Big Cloud companies—who are not ashamed of taking advantage—is why I advise companies to guard their product and not go open-source, or to limit their vulnerability if they already open-sourced, as Confluent did by changing their licensing when AWS pulled the same maneuver with Kafka, the open-source software from Confluent. Position Against the Category, Not the Product Now that companies decide between “build vs buy vs big cloud” before doing side-by-side comparisons of products, startups must position their product as a better alternative or complement to the entire “big cloud” category of solutions. Don’t talk about who has the better features. First, given the engineering resources available to Big Cloud companies, any feature advantage will be short-lived. Second, buyers make feature comparisons much later in the buying process, after ruling out the majority of options based on their perception—not features—of those products. So why is your product better than Big Cloud, despite the (likely) higher cost and time to deploy? Here are common answers I have found from my interviews with buyers, that may or may not apply to your product: Works Anywhere with Anything “Our product deploys, runs, and integrates with applications on any infrastructure. Organizations running applications hybrid or multi-cloud environments can use the product without restrictions and without consolidating to one cloud provider.” Self-Service for Non-Technical Users “Products from Big Cloud providers often serve the users closest to infrastructure work, such as engineers, operators, architects, developers. Our product lets non-technical users such as […] do their work without being blocked by or burdening technical teams.” End-to-End Solution “Our product is an end-to-end solution that does not require engineering work to glue parts and other systems together. Big Cloud products act more like building blocks that work well with other parts of their platform, but are not that useful or even usable on their own.” Purpose-Built “Our product was made—and continues to be developed—to solve the unique needs of your industry. It integrates seamlessly with people, workflows, tools, and systems you already have, such as […].” Expert Partners “In addition to documentation and examples relevant to your use cases, we provide expert support and consultation to all customers, regardless of their size.” Customer-Driven Development “We are laser-focused on making the best product for […], constantly making improvements based on input and emerging needs of people like you.” If you’re still unsure how to explain your advantage over Big Cloud products, ask the buyers who chose you over AWS, Azure, or GCP, like I did for Gravitational and for Netlify. After developing new positioning to compete against Big Cloud, turn it into new or updated messaging, align the company on that messaging, and bring it to market through your sales and marketing channels. Conclusion The entry of Big Cloud is not always a death knell, but it’s serious. Startups that acknowledge the threat from Big Cloud companies, prepare accordingly, and react with the right strategy and sense of urgency could not only survive but thrive. Maybe even long enough to be acquired by one. [1] An incomplete list: I was consulting FoundationDB when AWS launched Aurora; Scalyr when AWS launched its Elasticsearch service (often used for searching through logs); Gravitational when Google launched GKE; Domino Data Lab when AWS launched Sagemaker; Etleap when AWS launched Glue; Nexla when Google acquired Alooma and as AWS launched AWS Lake Formation; Netlify when Google acquired Firebase and when GitHub (owned by Microsoft) launched Actions. In one case I saw things from the other side: When the startup Particle launched their IoT solutions, I was consulting AT&T on launching their own IoT platform and marketplace… True to form, AWS also launched an IoT platform that year. [2] Product counts are approximate, and do not include general business product groups such as G Suite or Office 365. Sources: 1, 2, 3, 4, 5, 6, 7, 8. ◼ PS - Liked this article? I write one every month or so, covering lessons learned on B2B startup growth. Don't miss the next one:

#Greg Kogan

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