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bdccglobal · 2 years ago

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AWS and machine learning

AWS (Amazon Web Services) is a collection of remote computing services (also called web services) that make up a cloud computing platform, offered by Amazon.com. These services operate from 12 geographical regions across the world.

AWS provides a variety of services for machine learning, including:

Amazon SageMaker is a fully-managed platform for building, training, and deploying machine learning models.

Amazon Machine Learning is a service that makes it easy for developers of all skill levels to use machine learning.

AWS Deep Learning AMIs, pre-built Amazon Machine Images (AMIs) that make it easy to get started with deep learning on Amazon EC2.

AWS Deep Learning Containers, Docker images pre-installed with deep learning frameworks to make it easy to run distributed training on Amazon ECS.

Additionally, AWS also provides services for data storage, data processing, and data analysis which are essential for machine learning workloads. These services include Amazon S3, Amazon Kinesis, Amazon Redshift, and Amazon QuickSight.

In summary, AWS provides a comprehensive set of services that allow developers and data scientists to build, train, and deploy machine learning models easily and at scale.

AWS also provides several other services that can be used in conjunction with machine learning. These include:

Amazon Comprehend is a natural language processing service that uses machine learning to extract insights from text.

Amazon Transcribe is a service that uses machine learning to transcribe speech to text.

Amazon Translate is a service that uses machine learning to translate text from one language to another.

Amazon Rekognition is a service that uses machine learning to analyze images and videos, detect objects, scenes, and activities, and recognise faces, text, and other content.

AWS also provides a number of tools and frameworks that can be used to build and deploy machine learning models, such as:

TensorFlow is an open-source machine learning framework that is widely used for building and deploying neural networks.

Apache MXNet, a deep learning framework that is fully supported on AWS.

PyTorch is an open-source machine-learning

library for Python that is also fully supported on AWS.

AWS SDKs for several programming languages, including Python, Java, and .NET, which make it easy to interact with AWS services from your application.

AWS also offers a number of programs and resources to help developers and data scientists learn about machine learning, including the Machine Learning University, which provides a variety of courses, labs, and tutorials on machine learning topics, and the AWS Machine Learning Blog, which features articles and case studies on the latest developments in machine learning and how to use AWS services for machine learning workloads.

In summary, AWS provides a wide range of services, tools, and resources for building and deploying machine learning models, making it a powerful platform for machine learning workloads at any scale.

#Amazon Web Services #amazon #awspartners #aws consultants #devops2023

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netsmp · 4 years ago

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UDEMY Amazon Quicksight for FREE

New Post has been published on https://netsmp.com/2020/09/26/udemy-amazon-quicksight-for-free/

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udemy-gift-coupon-blog · 6 years ago

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Complete AWS Big Data and Analytics Certification ##FreeCourse ##UdemyFreeCoupon #Analytics #AWS #Big #Certification #Complete #Data Complete AWS Big Data and Analytics Certification In this course, we would explore Amazon Cloud- Amazon Web Services. We would explore AWS Big Data and Analytics Certification that one can take, exploring the learning path in the domain of big data and analytics . We would also explore how we can prepare for this aws ceritfication, what are the services covered, exam pattern, weightage, syllabus, etc In this course we will learn and practice all the tools of AWS Analytics which is being offered by AWS Cloud. There will be both theoretical and practical section of each AWS Analytics tools.This course is for those who wanted to groom their analytics skills . Analytics plays very important role in the world of big data. There is no use of big data if we can not extract proper or meaningful insights from that. In short more data means better analysis, better analysis means better decision which makes organisation profitable. Analytics tools like Amazon Athena (Querying data instantly and get results in seconds) Amazon CloudSearch (Makes it simple and cost-effective to set up, manage, and scale a search solution for your website or application) Amazon ElasticSearch (Search, Analyze, and Visualize data in real-time.) Amazon Kinesis (Easily collecting, processing, and analyzing video and data streams in real time) Amazon QuickSight (Fast, Cloud-powered BI service that makes it easy to build visualizations and quickly get business insights from your data.) Amazon Glue (Simple, flexible, and cost-effective ETL) This course also contains many practicals to groom your analytics skills. And also COMPUTE Services(EC2, Beanstalk, Lambda, Container, Lightsail, VPC), AWS CLI and many more topics This course is generally for aws certification aspirants providing them all the necessary information regarding various certifications in different domains before taking actual exam, in a manner to maximise the benefits of certification and chances of being certified. Who this course is for: Anyone who may take AWS Cloud Big Data Analytics Speciality Exam and would be preparing for it. Anyone who just wants to learn and test Amazon Web Services Platform or any developer willing to develop his/her application over Amazon Cloud- Amazon Web Services. 👉 Activate Udemy Coupon 👈 Free Tutorials Udemy Review Real Discount Udemy Free Courses Udemy Coupon Udemy Francais Coupon Udemy gratuit Coursera and Edx ELearningFree Course Free Online Training Udemy Udemy Free Coupons Udemy Free Discount Coupons Udemy Online Course Udemy Online Training 100% FREE Udemy Discount Coupons https://www.couponudemy.com/blog/complete-aws-big-data-and-analytics-certification/

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mounikaposts-blog · 5 years ago

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Important AWS Services

Rainbow Training Institute provides the Best AWS Online Training. We are Offering AWS(Amazon Web Services) Course Online training And AWS Training in Hyderabad. Are you ready to build your future on the AWS Cloud? Let's Get Started. Complete Suite of AWS training videos.

Important AWS Services

Here, are basic AWS administrations.

AWS Computer Services

EC2(Elastic Compute Cloud) - EC2 is a virtual machine in the cloud on which you have OS level control. You can run this cloud server at whatever point you need.

LightSail -This distributed computing instrument naturally conveys and deals with the PC, stockpiling, and systems administration capacities required to run your applications.

Versatile Beanstalk — The apparatus offers mechanized organization and provisioning of assets like an exceptionally adaptable creation site.

EKS (Elastic Container Service for Kubernetes) — The apparatus permits you to Kubernetes on Amazon cloud condition without establishment.

AWS Lambda — This AWS administration permits you to run works in the cloud. The apparatus is a major cost saver for you as you to pay just when your capacities execute.

Migration

Migration administrations used to move information truly between your datacenter and AWS.

DMS (Database Migration Service) -DMS administration can be utilized to relocate nearby databases to AWS. It encourages you to relocate starting with one sort of database then onto the next — for instance, Oracle to MySQL.

SMS (Server Migration Service) - SMS movement administrations permits you to move nearby servers to AWS effectively and rapidly.

Snowball — Snowball is a little application which permits you to move terabytes of information inside and outside of AWS condition.

Storage

Amazon Glacier-It is an amazingly ease stockpiling administration. It offers secure and quick stockpiling for information filing and reinforcement.

Amazon Elastic Block Store (EBS)- It furnishes square level stockpiling to use with Amazon EC2 examples. Amazon Elastic Block Store volumes are arrange connected and stay autonomous from the life of an example.

AWS Storage Gateway-This AWS administration is associating on-premises programming applications with cloud-based stockpiling. It offers secure joining between the organization's on-premises and AWS's stockpiling foundation.

Security Services

IAM (Identity and Access Management) — IAM is a safe cloud security administration which causes you to oversee clients, dole out arrangements, structure gatherings to deal with different clients.

Inspector — It is an operator that you can introduce on your virtual machines, which reports any security vulnerabilities.

Declaration Manager — The administration offers free SSL authentications for your spaces that are overseen by Route53.

WAF (Web Application Firewall) —WAF security administration offers application-level insurance and permits you to square SQL infusion and encourages you to square cross-webpage scripting assaults.

Cloud Directory — This administration permits you to make adaptable, cloud-local registries for overseeing chains of command of information along different measurements.

KMS (Key Management Service) — It is an overseen administration. This security administration encourages you to make and control the encryption keys which permits you to encode your information.

Organizations — You can make gatherings of AWS accounts utilizing this support of oversees security and mechanization settings.

Shield — Shield is overseen DDoS (Distributed Denial of Service security administration). It offers shields against web applications running on AWS.

Macie — It offers an information perceivability security administration which arranges and ensure your delicate basic substance.

GuardDuty — It offers risk recognition to ensure your AWS records and remaining tasks at hand.

Database Services :

Amazon RDS-This Database AWS administration is anything but difficult to set up, work, and scale a social database in the cloud.

Amazon DynamoDB-It is a quick, completely oversaw NoSQL database administration. It is a straightforward assistance which permit financially savvy stockpiling and recovery of information. It additionally permits you to serve any degree of solicitation traffic.

Amazon ElastiCache-It is a web administration which makes it simple to send, work, and scale an in-memory reserve in the cloud.

Neptune-It is a quick, solid and versatile diagram database administration.

Amazon RedShift - It is Amazon's information warehousing arrangement which you can use to perform complex OLAP inquiries.

\Analytics:

Athena — This examination administration permits perm SQL questions on your S3 pail to discover records.

CloudSearch — You should utilize this AWS administration to make a completely oversaw web index for your site.

ElasticSearch — It is like CloudSearch. Be that as it may, it offers more highlights like application observing.

Kinesis — This AWS examination administration causes you to stream and dissecting ongoing information at huge scale.

QuickSight — It is a business examination instrument. It encourages you to make perceptions in a dashboard for information in Amazon Web Services. For instance, S3, DynamoDB, and so on.

EMR (Elastic Map Reduce) —This AWS examination administration for the most part utilized for large information preparing like Spark, Splunk, Hadoop, and so on.

Data Pipeline — Allows you to move information starting with one spot then onto the next. For instance from DynamoDB to S3.

Manegement Services:

CloudWatch — Cloud watch causes you to screen AWS conditions like EC2, RDS examples, and CPU usage. It additionally triggers cautions relies upon different measurements.

CloudFormation — It is a method for transforming framework into the cloud. You can utilize layouts for giving an entire generation condition in minutes.

CloudTrail — It offers a simple technique for evaluating AWS assets. It causes you to log all changes.

OpsWorks — The administration permits you to computerized Chef/Puppet organizations on AWS condition.

Config — This AWS administration screens your condition. The instrument sends cautions about changes when you break certain characterized designs.

Service Catalog — This administration causes enormous undertakings to approve which administrations client will be utilized and which won't.

AWS Auto Scaling — The administration permits you to naturally scale your assets here and there dependent on given CloudWatch measurements.

System Manager — This AWS administration permits you to bunch your assets. It permits you to recognize issues and follow up on them.

Managed Services—It offers the board of your AWS foundation which permits you to concentrate on your applications.

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ultra-elenagrace49 · 5 years ago

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What is the scope of an AWS certified solution Architect!!

Cloud computing is the hottest trend in the information technology landscape. Be it an MNC or a start-up all the organizations are transferring their data from physical applications to cloud-based infrastructure, applications, and legacy systems. Resulting in a massive demand for certified cloud computing professionals. Where Amazon Web Services (AWS Certification Course) has the highest market share in the cloud service industry. Cloud services help organizations in securing, computing, storing databases with many other services.

AWS as a cloud platform has more than 100 cloud services, that enable organizations to secure, store and compute their data on the cloud. This benefits the organization in a way that there is no need for physical hardware to manage the IT infrastructure of the organization.

AWS is beneficial for organizations since they just need to pay for the services that they use. AWS is an essential service for companies that helps them in creating a complete infrastructure. Furthermore, AWS services facilitate organization an environment that doesn't require physical hardware, that minimizes the cost of the organization.

AWS Training/ AWS Certification equips professional in numerous ways that affect the organization in the following manner:-

Gears up the organization for the future researches have proved that nearly 83% of the workload in companies would be transferred to the cloud by the end of 2020.

AWS gives the organization a superficial appeal where it quantifies the type of resources consumed by the users. Services provided by AWS equips its users with the ability to create and launch services.

Enables organizations with the ability to run web & application servers on the cloud for client-facing websites and internal applications.

Stores all the sensitive documents and files securely on the cloud with the ease to access it. This also allows organizations in backing up the data along with data recovery

Services like AWS QuickSight, AWS Kinesis & AWS Glue enables organizations in conducting reliable data analytics Creation of managed databases based on renowned database management systems such as PostgreSQL, SQL, MySQL or Oracle. Where it helps in running reports and storing information.

Services such as AWS CloudFront to comprehend and develop content delivery networks. Where content delivery networks have the ability to share static file across the globe

Furthermore, it has been seen that 40% of the businesses are struggling to find professionals apt for cloud computing roles. Since AWS is the best cloud service provider having a market share of up to 32% hence, AWS professionals have a huge value in the market.

#awstraining #awscertification #awscourse #awsonlinetraining

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santosh1995-blog1 · 5 years ago

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aws training in noida:- AWS gives oversaw database administrations through its Amazon Relational Database Service, AWS gives dealt with No SQL databases by means of Amazon DynamoDB.AWS comprises of restrictive devices and contributions intended to enable clients to move applications, Amazon Web Services gives administrations from gathering of actualities focuses spread crosswise over accessibility zones (AZs) in zones universally. An AZ speaks to a territory that incorporates different physical server farms. An AWS customer can stick up virtual machines (VMs) and imitate information in various AZs to achieve a shockingly dependable foundation this is evidence against disappointments of individual servers or an entire data Centre. Amazon Simple Storage Service (S3) offers adaptable thing carport for records reinforcement, authentic and examination. This supplier gives a thing that may shop and recover the certainties from all over. A business can keep cash with S3 through its uncommon Access carport tier. Which incorporates options for Oracle, SQL Server and a restrictive over the top execution database alluded to as Amazon Aurora? Databases, servers and records onto its open cloud. The AWS Migration Hub gives a region to keep up and control relocations from on limits to the cloud.AWS likewise offers an area call framework known as Amazon Route fifty three that courses stop clients to programs. An IT expert can set up a devoted association from on-premises insights focus to the AWS cloud by means of AWS Direct Connect.

A designer can take increase of AWS order line devices and programming program improvement units (SDKs) to enhance and control bundles and contributions. AWS SDKs are to be had for more than one frameworks and programming dialects, including Java, PHP, Python, Node.Js, Ruby, C++, Android and iOS.An administrator can keep and music cloud help design through AWS Comfit and AWS Comfit Rules. AWS gives various mechanization gears in its portfolio. An administrator can hold foundation provisioning through AWS Cloud Formation layouts, and furthermore use AWS OpsWorks and Chef to mechanize framework and contraption configurations.AWS bears a scope of contributions for cloud wellbeing, which incorporates AWS Identity and Access Management (IAM), which lets in administrators to characterize and control client access to resources. An administrator can likewise make a client index with Amazon Cloud Directory, or associate cloud resources for a present Microsoft Active Directory with the AWS Directory Service. The cloud guarantor has moreover included apparatus that naturally check ability security dangers.AWS incorporates more than one of substantial information investigation and application contributions. Amazon Elastic Map-lessen offers a Hadoop system to strategy vast amounts of insights, while Amazon Kinesis gives various rigging to process and look at gushing actualities. To address records, an investigator can utilize Amazon Athena for S3, and after that imagine measurements with Amazon QuickSight. aws training course in noida

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simplemlmsponsoring · 6 years ago

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New Post has been published on http://simplemlmsponsoring.com/attraction-marketing-formula/pinterest-marketing/amazon-web-services-how-big-is-aws/

Amazon Web Services: How Big Is AWS?

Working with technology companies, I’m amazed at how many are hosting their platforms on Amazon Web Services (AWS). Netflix, Reddit, AOL, and Pinterest are now running on Amazon services. Even GoDaddy is moving a majority of its infrastructure there.

Key to the popularity is the combination of the high availability and low cost. Amazon S3, for example, is designed to deliver 99.999999999% availability, serving trillions of objects worldwide. Amazon is notorious for its aggressive pricing and AWS’ is no different. That high availability and low cost has been attractive to startups who wish to scale quickly and efficiently.

$18 billion in revenue for 2017 and nearly 50% growth in the second quarter of 2018 show that the Amazon Cloud solution continues to attract new customers left and right.

Nick Galov, HostingTribunal

The downside, in my opinion, has been user experience and support. Sign into your Amazon Web Services panel and you’re met with dozens of options with very little detail on what platforms actually do and how they work together. Check out the list of products below the infographic… everything from hosting to AI have their own platforms on AWS.

Sure, you can dig and educate yourself. However, I’ve found that simple processes like setting up a website take way too much effort there. Of course, I’m not a full-time web developer. Many of the companies I work with give me a strange look when I tell them about the issues I have.

This infographic from HostingTribunal, AWS Web Hosting, does a great job in documenting the history of AWS, current growth statistics, alliances and partnerships, major outages, why you should host with AWS, key web hosting solutions on AWS, and success stories:

List of Amazon Web Services

AWS Server Solutions:

Amazon EC2 – Virtual Servers in the Cloud Amazon EC2 Auto Scaling – Scale Compute Capacity to Meet Demand Amazon Elastic Container Service – Run and Manage Docker Containers Amazon Elastic Container Service for Kubernetes – Run Managed Kubernetes on AWS Amazon Elastic Container Registry – Store and Retrieve Docker Images Amazon Lightsail – Launch and Manage Virtual Private Servers AWS Batch – Run Batch Jobs at Any Scale AWS Elastic Beanstalk – Run and Manage Web Apps AWS Fargate – Run Containers without Managing Servers or Clusters AWS Lambda – Run your Code in Response to Events AWS Serverless Application Repository – Discover, Deploy, and Publish Serverless Applications VMware Cloud on AWS – Build a Hybrid Cloud without Custom Hardware AWS Outposts – Run AWS services on-premises

AWS Storage Solutions

Amazon S3 – Scalable Storage in the Cloud Amazon EBS – Block Storage for EC2 Amazon Elastic File System – Managed File Storage for EC2 Amazon Glacier – Low-cost Archive Storage in the Cloud AWS Storage Gateway – Hybrid Storage Integration AWS Snowball – Petabyte-scale Data Transport AWS Snowball Edge – Petabyte-scale Data Transport with On-board Compute AWS Snowmobile – Exabyte-scale Data Transport Amazon FSx for Lustre – Fully managed compute-intensive file system Amazon FSx for Windows File Server – Fully managed Windows native file system

AWS Database Solutions

Amazon Aurora – High Performance Managed Relational Database Amazon RDS – Managed Relational Database Service for MySQL, PostgreSQL, Oracle, SQL Server, and MariaDB Amazon DynamoDB – Managed NoSQL Database Amazon ElastiCache – In-memory Caching System Amazon Redshift – Fast, Simple, Cost-effective Data Warehousing Amazon Neptune – Fully Managed Graph Database Service AWS Database Migration Service – Migrate Databases with Minimal Downtime Amazon Quantum Ledger Database (QLDB) – Fully managed ledger database Amazon Timestream – Fully managed time series database Amazon RDS on VMware – Automate on-premises database management

AWS Migration and Transfer Solutions

AWS Application Discovery Service – Discover On-Premises Applications to Streamline Migration AWS Database Migration Service – Migrate Databases with Minimal Downtime AWS Migration Hub – Track Migrations from a Single Place AWS Server Migration Service – Migrate On-Premises Servers to AWS AWS Snowball – Petabyte-scale Data Transport AWS Snowball Edge – Petabyte-scale Data Transport with On-board Compute AWS Snowmobile – Exabyte-scale Data Transport AWS DataSync – Simple, fast, online data transfer AWS Transfer for SFTP – Fully managed SFTP service

AWS Networking and Content Delivery Solutions

Amazon VPC – Isolated Cloud Resources Amazon VPC PrivateLink – Securely Access Services Hosted on AWS Amazon CloudFront – Global Content Delivery Network Amazon Route 53 – Scalable Domain Name System Amazon API Gateway – Build, Deploy, and Manage APIs AWS Direct Connect – Dedicated Network Connection to AWS Elastic Load Balancing – High Scale Load Balancing AWS Cloud Map – Application resource registry for microservices AWS App Mesh – Monitor and control microservices AWS Transit Gateway – Easily scale VPC and account connections AWS Global Accelerator – Improve application availability and performance

AWS Developer Tools

AWS CodeStar – Develop and Deploy AWS Applications AWS CodeCommit – Store Code in Private Git Repositories AWS CodeBuild – Build and Test Code AWS CodeDeploy – Automate Code Deployment AWS CodePipeline – Release Software using Continuous Delivery AWS Cloud9 – Write, Run, and Debug Code on a Cloud IDE AWS X-Ray – Analyze and Debug Your Applications AWS Command Line Interface – Unified Tool to Manage AWS Services

AWS Management and Governance Solutions

Amazon CloudWatch – Monitor Resources and Applications AWS Auto Scaling – Scale Multiple Resources to Meet Demand AWS CloudFormation – Create and Manage Resources with Templates AWS CloudTrail – Track User Activity and API Usage AWS Config – Track Resource Inventory and Changes AWS OpsWorks – Automate Operations with Chef and Puppet AWS Service Catalog – Create and Use Standardized Products AWS Systems Manager – Gain Operational Insights and Take Action AWS Trusted Advisor – Optimize Performance and Security AWS Personal Health Dashboard – Personalized View of AWS Service Health AWS Control Tower – Set up and govern a secure, compliant, multi-account environment AWS License Manager – Track, manage, and control licenses AWS Well-Architected Tool – Review and improve your workloads

AWS Media Services

Amazon Elastic Transcoder – Easy-to-use Scalable Media Transcoding Amazon Kinesis Video Streams – Process and Analyze Video Streams AWS Elemental MediaConvert – Convert File-based Video Content AWS Elemental MediaLive – Convert Live Video Content AWS Elemental MediaPackage – Video Origination and Packaging AWS Elemental MediaStore – Media Storage and Simple HTTP Origin AWS Elemental MediaTailor – Video Personalization and Monetization AWS Elemental MediaConnect – Reliable and secure live video transport

AWS Security, Identity, and Compliance Solutions

AWS Identity & Access Management – Manage User Access and Encryption Keys Amazon Cloud Directory – Create Flexible Cloud-native Directories Amazon Cognito – Identity Management for your Apps AWS Single Sign-On – Cloud Single Sign-On (SSO) Service Amazon GuardDuty – Managed Threat Detection Service Amazon Inspector – Analyze Application Security Amazon Macie -Discover, Classify, and Protect your Data AWS Certificate Manager – Provision, Manage, and Deploy SSL/TLS Certificates AWS CloudHSM – Hardware-based Key Storage for Regulatory Compliance AWS Directory Service – Host and Manage Active Directory AWS Firewall Manager – Central Management of Firewall Rules AWS Key Management Service – Managed Creation and Control of Encryption Keys AWS Organizations – Policy-based Management for Multiple AWS Accounts AWS Secrets Manager – Rotate, Manage, and Retrieve Secrets AWS Shield – DDoS Protection AWS WAF – Filter Malicious Web Traffic AWS Artifact – On-demand access to AWS compliance reports AWS Security Hub – Unified security and compliance center

AWS Analytics Solutions

Amazon Athena – Query Data in S3 using SQL Amazon CloudSearch – Managed Search Service Amazon Elasticsearch Service – Run and Scale Elasticsearch Clusters Amazon EMR – Hosted Hadoop Framework Amazon Kinesis – Work with Real-time Streaming Data Amazon Redshift – Fast, Simple, Cost-effective Data Warehousing Amazon Quicksight – Fast Business Analytics Service AWS Data Pipeline – Orchestration Service for Periodic, Data-driven Workflows AWS Glue – Prepare and Load Data Amazon Managed Streaming for Kafka – Fully managed Apache Kafka service AWS Lake Formation – Build a secure data lake in days

AWS Machine Learning Solutions

Amazon SageMaker – Build, Train, and Deploy Machine Learning Models at Scale Amazon Comprehend – Discover Insights and Relationships in Text Amazon Lex – Build Voice and Text Chatbots Amazon Polly – Turn Text into Lifelike Speech Amazon Rekognition – Analyze Image and Video Amazon Translate – Natural and Fluent Language Translation Amazon Transcribe – Automatic Speech Recognition AWS DeepLens – Deep Learning Enabled Video Camera AWS Deep Learning AMIs – Quickly Start Deep Learning on EC2 Apache MXNet on AWS – Scalable, High-performance Deep Learning TensorFlow on AWS – Open-source Machine Intelligence Library Amazon Personalize – Build real-time recommendations into your applications Amazon Forecast – Increase forecast accuracy using machine learning Amazon Inferentia – Machine learning inference chip Amazon Textract – Extract text and data from documents Amazon Elastic Inference – Deep learning inference acceleration Amazon SageMaker Ground Truth – Build accurate ML training datasets AWS DeepRacer – Autonomous 1/18th scale race car, driven by ML

AWS Mobile Solutions

AWS Amplify -Build and deploy mobile and web applications Amazon API Gateway – Build, Deploy, and Manage APIs Amazon Pinpoint – Push Notifications for Mobile Apps AWS AppSync – Real-time and Offline Mobile Data Apps AWS Device Farm – Test Android, FireOS, and iOS Apps on Real Devices in the Cloud AWS Mobile SDK – Mobile Software Development Kit

AWS Augmented Reality and Virtual Reality Solutions

Amazon Sumerian – Build and Run VR and AR Applications

AWS Application Integration Solutions

AWS Step Functions – Coordinate Distributed Applications Amazon Simple Queue Service (SQS) – Managed Message Queues Amazon Simple Notification Service (SNS) – Pub/Sub, Mobile Push and SMS Amazon MQ – Managed Message Broker for ActiveMQ

AWS Customer Engagement Solutions

Amazon Connect – Cloud-based Contact Center Amazon Pinpoint – Push Notifications for Mobile Apps Amazon Simple Email Service (SES) – Email Sending and Receiving

AWS Business Applications

Alexa for Business – Empower your Organization with Alexa Amazon Chime – Frustration-free Meetings, Video Calls, and Chat Amazon WorkDocs – Enterprise Storage and Sharing Service Amazon WorkMail – Secure and Managed Business Email and Calendaring

AWS Desktop and Application Streaming Solutions

Amazon WorkSpaces – Desktop Computing Service Amazon AppStream 2.0 – Stream Desktop Applications Securely to a Browser

AWS Internet of Things (IoT) Solutions

AWS IoT Core – Connect Devices to the Cloud Amazon FreeRTOS – IoT Operating System for Microcontrollers AWS Greengrass – Local Compute, Messaging, and Sync for Devices AWS IoT 1-Click – One Click Creation of an AWS Lambda Trigger AWS IoT Analytics – Analytics for IoT Devices AWS IoT Button – Cloud Programmable Dash Button AWS IoT Device Defender – Security Management for IoT Devices AWS IoT Device Management – Onboard, Organize, and Remotely Manage IoT Devices AWS IoT Events – IoT event detection and response AWS IoT SiteWise – IoT data collector and interpreter AWS Partner Device Catalog – Curated catalog of AWS-compatible IoT hardware AWS IoT Things Graph – Easily connect devices and web services

AWS Game Development Solutions

Amazon GameLift – Simple, Fast, Cost-effective Dedicated Game Server Hosting Amazon Lumberyard – A Free Cross-platform 3D Game Engine with Full Source, Integrated with AWS and Twitch

AWS Cost Management Solutions

AWS Cost Explorer – Analyze Your AWS Cost and Usage AWS Budgets – Set Custom Cost and Usage Budgets Reserved Instance Reporting – Dive Deeper into Your Reserved Instances (RIs) AWS Cost and Usage Report – Access Comprehensive Cost and Usage Information

AWS Blockchain Solutions

Amazon Managed Blockchain – Create and manage scalable blockchain networks

AWS Robotics Solutions

AWS RoboMaker – Develop, test, and deploy robotics applications

AWS Satellite Solutions

AWS Ground Station – Fully managed ground station as a service

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amazonquicksighttraining · 9 days ago

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Amazon QuickSight Training | AWS QuickSight Training in Hyderabad

Amazon QuickSight Training: 10 QuickSight Tips & Tricks to Boost Your Data Analysis Skills

Amazon QuickSight is a powerful business intelligence (BI) tool that empowers organizations to create interactive dashboards and gain valuable insights from their data. Whether you’re new to Amazon QuickSight or looking to enhance your existing skills, mastering its advanced features can significantly improve your data analysis capabilities. This guide focuses on ten essential tips and tricks to elevate your expertise in Amazon QuickSight Training and make the most out of this tool.

1. Understanding the Basics with Amazon QuickSight Training

To effectively use QuickSight, start by understanding its fundamentals. Amazon QuickSight Training provides a thorough overview of key functionalities such as connecting data sources, creating datasets, and building visualizations. By mastering the basics, you set the foundation for leveraging more advanced features and gaining meaningful insights.

2. Optimize Data Preparation

One of the first steps in data analysis is data preparation. Use Amazon QuickSight's in-built tools to clean, transform, and model your data before creating visualizations. Features like calculated fields and data filters are especially useful for creating precise datasets. AWS QuickSight Online Training covers these capabilities in detail, helping you streamline the preparation process.

3. Mastering Visual Customization

Effective data presentation is critical for analysis. With QuickSight, you can create highly customized visuals that align with your specific needs. Learn to adjust colors, axes, and data labels to make your charts more intuitive and visually appealing. Amazon QuickSight Training emphasizes the importance of tailoring visuals to improve storytelling and engagement.

4. Utilize Advanced Calculations

QuickSight supports advanced calculations, such as percentiles, running totals, and custom metrics. Leveraging these features allows you to derive deeper insights from your data. AWS QuickSight Training provides step-by-step guidance on creating advanced formulas, which can save time and add value to your analysis.

5. Enable Auto-Narratives for Insights

Auto-narratives in QuickSight use natural language processing (NLP) to generate textual summaries of your data. This feature is particularly useful for highlighting trends, anomalies, and key performance indicators (KPIs). AWS QuickSight Online Training teaches how to enable and customize auto-narratives for improved decision-making.

6. Take Advantage of SPICE Engine

QuickSight’s Super-fast, Parallel, In-memory Calculation Engine (SPICE) is designed for speed and efficiency. It enables users to analyze massive datasets without relying on external databases. Learning how to optimize SPICE usage is an integral part of Amazon QuickSight Training and ensures you can work with data at scale.

7. Implement Conditional Formatting

Conditional formatting helps draw attention to critical data points. You can set rules to highlight values based on specific conditions, making your dashboards more actionable. AWS QuickSight Training explores how to implement these rules to enhance the interpretability of your visuals.

8. Share and Collaborate Effectively

QuickSight makes it easy to share dashboards and reports with stakeholders. By learning best practices for sharing, including granting permissions and scheduling email reports, you ensure that insights reach the right audience. AWS QuickSight Online Training includes collaboration techniques to improve team workflows.

9. Use Embedded Analytics

Embedding QuickSight dashboards into applications or websites is a game-changer for businesses. This feature allows organizations to provide real-time insights to users within their existing platforms. Amazon QuickSight Training delves into embedding analytics, offering practical examples to integrate dashboards seamlessly.

10. Stay Updated with New Features

AWS QuickSight regularly updates its features to enhance user experience and functionality. Staying informed about these updates through AWS QuickSight Training ensures you are always utilizing the latest tools and capabilities to boost productivity and efficiency.

Conclusion: Amazon QuickSight is a versatile and user-friendly BI tool that caters to a wide range of data analysis needs. By leveraging these tips and tricks, you can unlock the full potential of QuickSight and deliver impactful insights. Whether you're new to BI or an experienced analyst, Amazon QuickSight Training equips you with the skills to excel in data visualization and reporting.

AWS QuickSight Online Training and AWS QuickSight Training courses are invaluable resources for professionals looking to stay competitive in today’s data-driven world. From mastering visual customization to utilizing SPICE and embedding analytics, QuickSight offers endless opportunities for growth and innovation. With continuous learning and practice, you can transform raw data into actionable intelligence, empowering your organization to make informed decisions and drive success.

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amazonquicksighttraining · 25 days ago

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Amazon QuickSight Training | AWS QuickSight Training in Hyderabad

Amazon QuickSight Training: From Raw Data To Beautiful Dashboards - Mastering AWS QuickSight

Amazon QuickSight Training provides a comprehensive guide to transforming raw data into visually compelling, interactive dashboards that empower decision-making. With the exponential growth of data, businesses need robust tools to analyze and interpret vast amounts of information efficiently. Amazon QuickSight, a cloud-based business intelligence (BI) service from AWS, is designed to make data visualization, reporting, and analysis both accessible and insightful. Through Amazon QuickSight Training, individuals and teams gain the skills to harness this powerful tool, creating data-driven insights that are essential for today’s competitive business environment.

In the digital age, data is one of the most valuable assets for any organization. However, raw data is often complex and difficult to interpret without the right tools and techniques. This is where Amazon QuickSight comes in, allowing users to import data from multiple sources, organize it, and transform it into actionable insights. The platform's capabilities include machine learning-based predictive analytics, interactive dashboards, and the ability to work with a range of data sources like Amazon Redshift, S3, and third-party data systems. Through an Amazon QuickSight Course Online, participants learn the core skills for importing, managing, and visualizing data, transforming complex data into easy-to-understand visualizations and reports.

Learning the Essentials of AWS QuickSight through Training

A foundational part of any Amazon QuickSight Training involves understanding the platform’s core features and the techniques for optimizing data visualization. QuickSight’s user-friendly interface makes it accessible even to individuals without extensive technical expertise, making it a versatile tool for both beginners and experienced data analysts. During AWS QuickSight Training, users learn to connect to data sources, from AWS databases to on-premises and third-party platforms. The course covers how to use SPICE (Super-fast, Parallel, In-memory Calculation Engine), QuickSight’s in-memory engine, which speeds up data processing and enables near-real-time analytics.

Training sessions often focus on creating effective visualizations—bar charts, line graphs, pie charts, and more—each tailored to convey data insights in the most impactful way. Participants learn how to select the right visualizations for different data sets and how to build dashboards that allow users to interact with and drill down into specific data points. Through this learning process, trainees become adept at using QuickSight’s powerful tools to uncover trends, patterns, and anomalies, enabling them to drive actionable insights across their organizations. Moreover, users gain experience with QuickSight’s natural language query feature, which allows them to ask questions about their data in plain language, making it easy for non-technical users to derive insights from complex datasets.

Building Skills in Advanced Features with Amazon QuickSight Course Online

For users looking to go beyond basic visualization, an Amazon QuickSight Course Online offers training in advanced features like predictive analytics and machine learning (ML) integrations. QuickSight includes an array of ML-driven insights, such as anomaly detection and forecasting, that empower users to make predictive analyses directly within the platform. Through AWS QuickSight Training, participants learn how to apply these advanced features to identify potential issues before they arise, or to forecast business metrics like sales or customer growth. These skills are especially useful for organizations that need proactive, data-driven strategies to stay competitive.

The Amazon QuickSight Course Online also covers best practices for sharing and collaborating on dashboards. QuickSight supports the creation of shared dashboards, allowing teams to access up-to-date data insights simultaneously. Training helps users set permissions for different team members, ensuring that only relevant stakeholders can view or edit particular datasets. Additionally, users learn how to automate report generation and distribution, which saves time and ensures that teams receive the latest data insights without manual intervention.

Another focus area in AWS QuickSight Training is optimizing data imports and setting up efficient data pipelines. As participants learn about setting up automated data refresh schedules and managing large data sets with SPICE, they gain the confidence to handle complex data tasks with ease. The training also covers integration with other AWS services, like Redshift and S3, which allows participants to leverage a complete AWS ecosystem for end-to-end data management.

AWS QuickSight Training for Practical Applications and Career Advancement

AWS QuickSight Training provides practical applications for users in fields such as finance, marketing, healthcare, and e-commerce. For instance, marketing teams can use QuickSight to analyze customer behavior and campaign performance, while finance teams can generate real-time financial reports. The hands-on experience gained through Amazon QuickSight Training is not only valuable for enhancing performance within an organization but also positions individuals as competitive candidates in the job market. Knowledge of QuickSight and AWS BI tools is increasingly sought after, as companies recognize the value of data analytics for growth and strategic planning.

Training programs often include case studies and real-world projects, which enable participants to practice their skills in practical settings. This experience helps learners translate theoretical knowledge into actionable insights, making them ready to solve actual business challenges through data analysis and visualization. Completing an Amazon QuickSight Course Online also gives professionals a recognized credential that demonstrates their competence in data visualization and analysis on AWS. For many, AWS QuickSight Training is an essential step towards career advancement in roles related to data science, business intelligence, and analytics.

Conclusion:

Amazon QuickSight Training is an invaluable resource for anyone looking to turn raw data into powerful, visually engaging insights. Through structured training programs, users learn the fundamentals of data visualization and dashboard creation, building the skills to handle complex data and produce impactful, data-driven insights. Whether through basic data visualization or advanced machine learning applications, AWS QuickSight Training prepares individuals to leverage data effectively, providing organizations with the insights they need to stay competitive. For professionals, completing an Amazon QuickSight Course Online opens doors to career advancement in fields driven by data analytics, ensuring they remain valuable contributors in a data-centric world.

By mastering QuickSight, users not only enhance their analytical capabilities but also enable their organizations to make faster, more informed decisions. Amazon QuickSight Training thus serves as a gateway to becoming a proficient data analyst capable of transforming raw data into actionable, beautifully designed dashboards that empower teams, drive strategies, and ultimately lead to business success.

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amazonquicksighttraining · 26 days ago

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amazonquicksighttraining · 14 days ago

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Amazon QuickSight Training | Amazon QuickSight Course Online

Amazon QuickSight Training: Top 10 AWS QuickSight Features Every Data Analyst Should Know Amazon QuickSight Training is an essential tool for data analysts seeking to develop their skills in data visualization and analytics. As one of the most powerful business intelligence (BI) tools offered by AWS, QuickSight allows analysts to build interactive dashboards, perform in-depth analysis, and create visualizations with ease. Through comprehensive Amazon QuickSight Training, data professionals can fully leverage these features to interpret data effectively and make strategic decisions. This guide explores the top 10 features of Amazon QuickSight that every data analyst should know. From its integration with AWS services to its machine learning capabilities, each feature in Amazon QuickSight is designed to enhance productivity and enable faster insights. Understanding these key features can not only advance data analysis skills but also increase efficiency and impact in day-to-day operations.

SPICE (Super-fast, Parallel, In-memory Calculation Engine) One of the standout features of Amazon QuickSight is SPICE, a robust in-memory engine that allows for super-fast data analysis. SPICE enables data analysts to work with large datasets quickly and efficiently, as it scales automatically and performs calculations in memory. This feature is essential for analysts dealing with high volumes of data and complex queries, as it significantly reduces processing time. AWS QuickSight Online Training often emphasizes SPICE’s benefits, as it’s integral to creating seamless user experiences with reduced wait times.

AutoGraph Feature Amazon QuickSight’s AutoGraph is a smart feature that automatically selects the best visualization for a given data type. By analyzing the dataset, QuickSight can recommend the most effective chart, graph, or table to represent the data accurately. This feature is particularly helpful for beginners or those who are new to data visualization, as it simplifies the process of creating insightful visuals. In Amazon QuickSight Training, learning to use AutoGraph can save analysts time while enhancing the impact of their dashboards.

Machine Learning Insights Amazon QuickSight provides powerful machine learning (ML) capabilities that allow analysts to perform predictive analysis and gain deeper insights. ML Insights can automatically detect anomalies, identify key drivers, and forecast trends, all without requiring extensive knowledge in data science. This feature allows analysts to uncover patterns in data that might not be visible through traditional analysis. For those interested in AWS QuickSight Online Training, mastering ML Insights is essential to fully leveraging the power of QuickSight.

Integration with AWS Services A key advantage of Amazon QuickSight is its seamless integration with other AWS services, such as Amazon S3, RDS, Redshift, and Athena. This integration allows data analysts to connect to various data sources and pull in relevant data for analysis. By taking an Amazon QuickSight Training Course, data professionals can learn how to link and optimize these integrations, enabling a streamlined data analysis workflow within the AWS ecosystem.

Data Preparation Tools Amazon QuickSight offers robust data preparation tools, including options for filtering, grouping, and combining datasets. Analysts can prepare their data directly within QuickSight, which eliminates the need for separate ETL (extract, transform, load) processes. These tools also support data wrangling and transformation, which are essential for creating clean, usable datasets. During AWS QuickSight Online Training, analysts are taught how to manipulate data efficiently using these preparation tools, making it easier to create meaningful visualizations.

Interactive Dashboards QuickSight enables the creation of interactive dashboards that users can easily share and explore. These dashboards can include drill-downs, filters, and customizable parameters, giving users the flexibility to interact with data in real-time. This is particularly valuable for data analysts who need to present their findings to stakeholders. Amazon QuickSight Training courses cover the best practices for building interactive dashboards, which enhance data presentation and user engagement.

Natural Language Querying with Q The Q feature in Amazon QuickSight allows users to ask questions in natural language and receive instant answers in the form of data visualizations. This feature democratizes data access by allowing non-technical users to interact with datasets without needing complex SQL queries. For data analysts, Amazon QuickSight Training on the Q feature can enhance efficiency, as it allows for faster data access and exploration, facilitating a quicker decision-making process.

Embedded Analytics Amazon QuickSight supports embedded analytics, allowing organizations to integrate QuickSight dashboards directly into their applications and websites. This feature enables external stakeholders to access analytics without needing direct access to QuickSight itself. AWS QuickSight Online Training courses emphasize the advantages of embedded analytics, as it allows data analysts to expand the reach of their insights and make data-driven decisions more accessible to others.

Collaboration Tools Collaboration is a crucial aspect of data analysis, and Amazon QuickSight facilitates this through built-in tools that allow users to share reports and dashboards. With the collaboration features, data analysts can invite team members to view or edit dashboards, fostering a more collaborative environment. In Amazon QuickSight Training, analysts learn to use these collaboration tools to ensure that insights are easily accessible and shareable across teams.

Cross-Platform Accessibility Amazon QuickSight is accessible across various devices, including desktops, tablets, and smartphones, making it easy for data analysts to access insights on the go. This cross-platform accessibility is a major advantage for teams that require flexibility in accessing data. AWS QuickSight Online Training often highlights how to optimize reports and dashboards for different devices, ensuring a seamless experience for users on any platform.

Conclusion: Amazon QuickSight Training is invaluable for data analysts who want to maximize the potential of this powerful BI tool. With features like SPICE, machine learning insights, interactive dashboards, and embedded analytics, Amazon QuickSight offers a comprehensive suite of tools to enhance data analysis and visualization. For data professionals, learning to use Amazon QuickSight not only enables more efficient workflows but also empowers them to generate impactful insights that drive business decisions. AWS QuickSight Online Training and Amazon QuickSight Training Course options are excellent resources for analysts looking to enhance their skills and stay competitive in a data-driven world. By mastering these top 10 QuickSight features, data analysts can elevate their abilities and position themselves as indispensable assets within their organizations. Visualpath offering a Amazon QuickSight Training with real-time expert instructors and hands-on projects. Our AWS QuickSight Online Training, from industry experts and gain hands-on experience. We provide to individuals globally in the USA, UK, etc. To schedule a demo, call +91-9989971070.

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