#sql examples for practice

[thedbahub]

Optimizing SQL Server Autogrowth Settings for Enhanced Performance

Introduction In the realm of database management, ensuring the smooth scaling of your SQL Server databases is paramount. Consequently, configuring autogrowth settings judiciously emerges as a critical task. This article delves into practical T-SQL code examples and applications to guide you through optimizing autogrowth settings in SQL Server, aiming to boost database performance and…

[clannfearrunt]

some Shark guys biology musings from the span of the past year or so. Don't ask me what their hands are shaped like I'm basically re-inventing it every time I draw it right now

The gills have closed up forming a buccal pouch filled with blood vessels, now used for thermoregulation rather than gas exchange. They might pant out of their mouth when particularly hot/out of breath, but because sharks will also gape their mouth to communicate stress/aggression they tend to avoid it whenever possible. Their faces don't have a lot of muscles to form detailed expressions; the extent of facial expressions for sharks tend to be seen through the openness of the eyes and mouth.

Here's a rough thing of the evolution of terrestrial sharks:

The bulk of modern terrestrial sharks can be found on the eastern half of the Big Continent (I'm not naming it bc what if SQL names their landmasses officially), where crocodilians have gone extinct. The other lineages of salamander sharks can also be found along the many islands stretching across the ocean off to the southeast of the continent as well. None of them are in traditional cephaling territory but lmao

Crocodile sharks are. Well. They're a group of larger freshwater sharks that frequently occupy a crocodile-like niche. Smaller species can be confused with salamander sharks, but they're much more resistant to desiccation and can wander away from water to look for food and new territory. This is where true endothermy begins cropping up in terrestrial sharks; the largest extant species don't bother with it, but several smaller guys seem to have developed it independently of each other.

The Haye are an iconic megafaunal predator of the so-called Mollusk Era. Lots of mythologies around them I'm sure. It used to be believed that they were the Shark folks' closest living relative, but modern research has found that to be untrue. They're endothermic and can be found even in fairly cold regions, but usually don't stick around for the winter in polar regions.

Mud Hounds are a diverse group of mid-sized, endothermic terrestrial sharks. Pictured is a beloved little digging guy usually known as dorghai. Many species rely on their keen sense of smell and electroreception to track their prey; they get their name from the common behavior of sticking their nose into wet mud to feel for the electric signatures of smaller burrowing prey. Even species that don't make active use of their electroreception often retain the ability. Seems they just haven't gotten around to losing it quite yet, even though electroreception isn't very effective in air. The Shark folk are no exception; some people report being able to "feel" active thunderstorms or faulty electronics. With practice they can actually do fuck all with it, but for most people it's just an occasional vague annoyance.

I didn't draw other examples of the group Shark folk are in, dubbed the walking hounds, because they're the only living member of the group. The reason for the group developing bipedalism isn't known right now. Also, I tend to draw Sharks standing fairly upright, but the most natural standing posture for them is more raptorial. Upright postures are associated with alertness/nervousness, or temporarily trying to take up less space in crowded areas. It becoming a default/preferred posture is seen commonly in "city" sharks used to living in high density areas with smaller species.

Yeah or an anxious city shark. Lol

[database-design-tech]

The Great Data Cleanup: A Database Design Adventure

As a budding database engineer, I found myself in a situation that was both daunting and hilarious. Our company's application was running slower than a turtle in peanut butter, and no one could figure out why. That is, until I decided to take a closer look at the database design.

It all began when my boss, a stern woman with a penchant for dramatic entrances, stormed into my cubicle. "Listen up, rookie," she barked (despite the fact that I was quite experienced by this point). "The marketing team is in an uproar over the app's performance. Think you can sort this mess out?"

Challenge accepted! I cracked my knuckles, took a deep breath, and dove headfirst into the database, ready to untangle the digital spaghetti.

The schema was a sight to behold—if you were a fan of chaos, that is. Tables were crammed with redundant data, and the relationships between them made as much sense as a platypus in a tuxedo.

"Okay," I told myself, "time to unleash the power of database normalization."

First, I identified the main entities—clients, transactions, products, and so forth. Then, I dissected each entity into its basic components, ruthlessly eliminating any unnecessary duplication.

For example, the original "clients" table was a hot mess. It had fields for the client's name, address, phone number, and email, but it also inexplicably included fields for the account manager's name and contact information. Data redundancy alert!

So, I created a new "account_managers" table to store all that information, and linked the clients back to their account managers using a foreign key. Boom! Normalized.

Next, I tackled the transactions table. It was a jumble of product details, shipping info, and payment data. I split it into three distinct tables—one for the transaction header, one for the line items, and one for the shipping and payment details.

"This is starting to look promising," I thought, giving myself an imaginary high-five.

After several more rounds of table splitting and relationship building, the database was looking sleek, streamlined, and ready for action. I couldn't wait to see the results.

Sure enough, the next day, when the marketing team tested the app, it was like night and day. The pages loaded in a flash, and the users were practically singing my praises (okay, maybe not singing, but definitely less cranky).

My boss, who was not one for effusive praise, gave me a rare smile and said, "Good job, rookie. I knew you had it in you."

From that day forward, I became the go-to person for all things database-related. And you know what? I actually enjoyed the challenge. It's like solving a complex puzzle, but with a lot more coffee and SQL.

So, if you ever find yourself dealing with a sluggish app and a tangled database, don't panic. Grab a strong cup of coffee, roll up your sleeves, and dive into the normalization process. Trust me, your users (and your boss) will be eternally grateful.

Step-by-Step Guide to Database Normalization

Here's the step-by-step process I used to normalize the database and resolve the performance issues. I used an online database design tool to visualize this design. Here's what I did:

Original Clients Table:

ClientID int

ClientName varchar

ClientAddress varchar

ClientPhone varchar

ClientEmail varchar

AccountManagerName varchar

AccountManagerPhone varchar

Step 1: Separate the Account Managers information into a new table:

AccountManagers Table:

AccountManagerID int

AccountManagerName varchar

AccountManagerPhone varchar

Updated Clients Table:

ClientID int

ClientName varchar

ClientAddress varchar

ClientPhone varchar

ClientEmail varchar

AccountManagerID int

Step 2: Separate the Transactions information into a new table:

Transactions Table:

TransactionID int

ClientID int

TransactionDate date

ShippingAddress varchar

ShippingPhone varchar

PaymentMethod varchar

PaymentDetails varchar

Step 3: Separate the Transaction Line Items into a new table:

TransactionLineItems Table:

LineItemID int

TransactionID int

ProductID int

Quantity int

UnitPrice decimal

Step 4: Create a separate table for Products:

Products Table:

ProductID int

ProductName varchar

ProductDescription varchar

UnitPrice decimal

After these normalization steps, the database structure was much cleaner and more efficient. Here's how the relationships between the tables would look:

Clients --< Transactions >-- TransactionLineItems

Clients --< AccountManagers

Transactions --< Products

By separating the data into these normalized tables, we eliminated data redundancy, improved data integrity, and made the database more scalable. The application's performance should now be significantly faster, as the database can efficiently retrieve and process the data it needs.

Conclusion

After a whirlwind week of wrestling with spreadsheets and SQL queries, the database normalization project was complete. I leaned back, took a deep breath, and admired my work.

The previously chaotic mess of data had been transformed into a sleek, efficient database structure. Redundant information was a thing of the past, and the performance was snappy.

I couldn't wait to show my boss the results. As I walked into her office, she looked up with a hopeful glint in her eye.

"Well, rookie," she began, "any progress on that database issue?"

I grinned. "Absolutely. Let me show you."

I pulled up the new database schema on her screen, walking her through each step of the normalization process. Her eyes widened with every explanation.

"Incredible! I never realized database design could be so... detailed," she exclaimed.

When I finished, she leaned back, a satisfied smile spreading across her face.

"Fantastic job, rookie. I knew you were the right person for this." She paused, then added, "I think this calls for a celebratory lunch. My treat. What do you say?"

I didn't need to be asked twice. As we headed out, a wave of pride and accomplishment washed over me. It had been hard work, but the payoff was worth it. Not only had I solved a critical issue for the business, but I'd also cemented my reputation as the go-to database guru.

From that day on, whenever performance issues or data management challenges cropped up, my boss would come knocking. And you know what? I didn't mind one bit. It was the perfect opportunity to flex my normalization muscles and keep that database running smoothly.

So, if you ever find yourself in a similar situation—a sluggish app, a tangled database, and a boss breathing down your neck—remember: normalization is your ally. Embrace the challenge, dive into the data, and watch your application transform into a lean, mean, performance-boosting machine.

And don't forget to ask your boss out for lunch. You've earned it!

[pentesttestingcorp]

SQL Injection in RESTful APIs: Identify and Prevent Vulnerabilities

SQL Injection (SQLi) in RESTful APIs: What You Need to Know

RESTful APIs are crucial for modern applications, enabling seamless communication between systems. However, this convenience comes with risks, one of the most common being SQL Injection (SQLi). In this blog, we’ll explore what SQLi is, its impact on APIs, and how to prevent it, complete with a practical coding example to bolster your understanding.

What Is SQL Injection?

SQL Injection is a cyberattack where an attacker injects malicious SQL statements into input fields, exploiting vulnerabilities in an application's database query execution. When it comes to RESTful APIs, SQLi typically targets endpoints that interact with databases.

How Does SQL Injection Affect RESTful APIs?

RESTful APIs are often exposed to public networks, making them prime targets. Attackers exploit insecure endpoints to:

Access or manipulate sensitive data.

Delete or corrupt databases.

Bypass authentication mechanisms.

Example of a Vulnerable API Endpoint

Consider an API endpoint for retrieving user details based on their ID:

from flask import Flask, request import sqlite3

app = Flask(name)

@app.route('/user', methods=['GET']) def get_user(): user_id = request.args.get('id') conn = sqlite3.connect('database.db') cursor = conn.cursor() query = f"SELECT * FROM users WHERE id = {user_id}" # Vulnerable to SQLi cursor.execute(query) result = cursor.fetchone() return {'user': result}, 200

if name == 'main': app.run(debug=True)

Here, the endpoint directly embeds user input (user_id) into the SQL query without validation, making it vulnerable to SQL Injection.

Secure API Endpoint Against SQLi

To prevent SQLi, always use parameterized queries:

@app.route('/user', methods=['GET']) def get_user(): user_id = request.args.get('id') conn = sqlite3.connect('database.db') cursor = conn.cursor() query = "SELECT * FROM users WHERE id = ?" cursor.execute(query, (user_id,)) result = cursor.fetchone() return {'user': result}, 200

In this approach, the user input is sanitized, eliminating the risk of malicious SQL execution.

How Our Free Tool Can Help

Our free Website Security Checker your web application for vulnerabilities, including SQL Injection risks. Below is a screenshot of the tool's homepage:

Upload your website details to receive a comprehensive vulnerability assessment report, as shown below:

These tools help identify potential weaknesses in your APIs and provide actionable insights to secure your system.

Preventing SQLi in RESTful APIs

Here are some tips to secure your APIs:

Use Prepared Statements: Always parameterize your queries.

Implement Input Validation: Sanitize and validate user input.

Regularly Test Your APIs: Use tools like ours to detect vulnerabilities.

Least Privilege Principle: Restrict database permissions to minimize potential damage.

Final Thoughts

SQL Injection is a pervasive threat, especially in RESTful APIs. By understanding the vulnerabilities and implementing best practices, you can significantly reduce the risks. Leverage tools like our free Website Security Checker to stay ahead of potential threats and secure your systems effectively.

Explore our tool now for a quick Website Security Check.

[olameni]

Studying Data Analytics (SQL)

At present I’m working through the 2nd Edition of Practical SQL by Anthony DeBarros. I plan to obtain a graduate certificate in Healthcare Data Analytics so I’m teaching myself the basics so to help ease the burden of working and going to school.

Here’s how I study.

First I always dedicate a notebook (or series of them) to a learning goal. I like Leuchtturm notebooks as they are fountain pen friendly and plenty of colors (to distinguish from my other notebooks), and have a built in table of contents for organization.

SQL, Python, R, etc are programming languages used to tell their respective software what to do with data that has been input into the database. To oversimplify you are learning to speak computer. So my process in learning is by breaking the text down into scenarios e.g If I want to do X, my code needs to look like Y

Along with code examples I include any caveats or alternate use cases. This is repetition helps me learn the syntax and ingrain it into my memory. Obviously I color code my notes so I can know at a glance what each element of the code is.

My multi-pen a Hi-tech C Coleto has been invaluable so I don’t have to jump between 5 different pens I just click between them as needed.

That said as the Coleto will hold 5 different colors it means the refill are tiny and thus need to be replaced more often. Which can be annoying if I run out mid study session.

The end game is to take these notes build a Data Grimoire where I can quickly reference code and how to use them as well as to build checklists for things like data cleaning, setting up constraints, and for thinking ahead to future needs (e.g int vs bigint)

[vbeyound]

Maximizing Business Insights with Power BI: A Comprehensive Guide for Small Businesses

Maximizing Business Insights Small businesses often face the challenge of making data-driven decisions without the resources of larger enterprises. Power BI, Microsoft's powerful analytics tool, can transform how small businesses use data, turning raw numbers into actionable insights. Here's a comprehensive guide to maximizing business insights with Power BI.

Introduction to Power BI

Power BI is a business analytics service by Microsoft that provides interactive visualizations and business intelligence capabilities. With an interface simple enough for end users to create their own reports and dashboards, it connects to a wide range of data sources.

Benefits for Small Businesses

1. User-Friendly Interface: Power BI's drag-and-drop functionality makes it accessible for users without technical expertise.

2. Cost-Effective: Power BI offers a free version with substantial features and a scalable pricing model for additional needs.

3. Real-Time Data: Businesses can monitor their operations with real-time data, enabling quicker and more informed decision-making.

Setting Up Power BI

1. Data Sources: Power BI can connect to various data sources such as Excel, SQL databases, and cloud services like Azure.

2. Data Modeling: Use Power BI to clean and transform data, creating a cohesive data model that forms the foundation of your reports.

3. Visualizations: Choose from a wide array of visualizations to represent your data. Customize these visuals to highlight the most critical insights.

Customizing Dashboards

1. Tailor to Needs: Customize dashboards to reflect the unique needs of your business, focusing on key performance indicators (KPIs) relevant to your goals.

2. Interactive Reports:Create interactive reports that allow users to explore data more deeply, providing a clearer understanding of underlying trends.

Real-World Examples

Several small businesses have successfully implemented Power BI to gain a competitive edge:

1. Retail: A small retail store used Power BI to track sales trends, optimize inventory, and identify peak shopping times.

2. Finance:A small financial advisory firm employed Power BI to analyze client portfolios, improving investment strategies and client satisfaction.

Integration with Existing Tools

Power BI seamlessly integrates with other Microsoft products such as Excel and Azure, as well as third-party applications, ensuring a smooth workflow and enhanced productivity.

Best Practices

1. Data Accuracy: Ensure data accuracy by regularly updating your data sources.

2. Training: Invest in training your team to use Power BI effectively.

3. Security: Implement robust security measures to protect sensitive data.

Future Trends

Power BI continues to evolve, with future updates likely to include more advanced AI features and enhanced data processing capabilities, keeping businesses at the forefront of technology.

Conclusion

Power BI offers small businesses a powerful tool to transform their data into meaningful insights. By adopting Power BI, businesses can improve decision-making, enhance operational efficiency, and gain a competitive advantage. Partnering with Vbeyond Digital ensures a smooth and successful implementation, maximizing the benefits of Power BI for your business. with Power BI: A Comprehensive Guide for Small Businesses

[lazar-codes]

01/11/2023 || Day 104

Personal Chatter

I love that yesterday I was pumped and ready for November and preparing to be productive, and yet today I woke up feeling bad so productivity was low. That's ok, tmr will be better! I also had another ASL class today and the teacher brought us chocolate (and the better thing is that we already know the sign for chocolate before, so we could use that in a sentence today). We've learned about 500 words (do we remember them all? lol, nope), and it's been such a fun class, so I already signed up for the next unit of the class for January.

------------------------------------------------------------------------------

Programming

Even though I didn't feel great today, I did get some stuff done!

LeetCode

Decided to start off with an easy LeetCode question, so I went with Number of Good Pairs and 5 mins later I was done. I previously did the Top Interview 150 questions, but I want more practice with Arrays/Strings, so I'm just doing those types now. Will move onto sorting and binary search trees and linked lists later (once I feel smart again).

Hobby Tracker - Log # 1

Ok, I decided what my full-stack project will be. I want to create a web app in which a user can keep track of different media they want to consume; books, movies, TV shows, and video games. Essentially, I want something that will show me how many things I want to get to (i.e how many books I want to read), and what those things specifically are, and then show me how much of each media type I've completed. For example, I have a spreadsheet of video games I own and I have it show me the % of complete games. I want that, but for all books, movies, shows, and games I enter. Not only that, but for certain media, I want to be able to get a random title from my list. Say I have 20 books I want to read but don't know which to pick. Well, I can ask it to choose a book for me randomly, and I'll read it. That's the basic idea, anyways. Today I spent some time setting up a Trello board to keep track of features I want and functionality I need, and I also started designing the mobile version of the app using Figma. It'll probably be a while before I start coding, but the idea is to have the frontend be built with React, backend with NodeJs, and database be SQL. I'll also be using APIs to get the media info, such as title, genre, etc...This will be the biggest project in terms of scope I've worked on, but hopefully I'll learn a lot.

[gnh5blog]

A TURN FROM B.Com OR BBA GRADUATE TO 

DATA ANALYST

The business world is changing, and so are the opportunities within it. If you've finished your studies in Bachelor of Commerce (B.Com) or Bachelor of Business Administration (BBA), you might be wondering how to switch into the field of data analysis. Data analysts play an important role these days, finding useful information in data to help with decisions. In this blog post, we'll look at the steps you can take to smoothly change from a B.Com or BBA background to the exciting world of data analysis.

What You Already Know:

Even though it might feel like a big change, your studies in B.Com or BBA have given you useful skills. Your understanding of how businesses work, finances, and how organisations operate is a great base to start from.

Step 1: Building Strong Data Skills:

To make this change, you need to build a strong foundation in data skills. Begin by getting to know basic statistics, tools to show data visually, and programs to work with spreadsheets. These basic skills are like building blocks for learning about data.

I would like to suggest the best online platform where you can learn these skills. Lejhro bootcamp has courses that are easy to follow and won't cost too much.

Step 2: Learning Important Tools:

Data analysts use different tools to work with data. Learning how to use tools like Excel, SQL, and Python is really important. Excel is good for simple stuff, SQL helps you talk to databases, and Python is like a super tool that can do lots of things.

You can learn how to use these tools online too. Online bootcamp courses can help you get good at using them.

Step 3: Exploring Data Tricks:

Understanding how to work with data is the core of being a data analyst. Things like looking closely at data, testing ideas, figuring out relationships, and making models are all part of it. Don't worry, these sound fancy, but they're just different ways to use data.

Step 4: Making a Strong Collection:

A collection of things you've done, like projects, is called a portfolio. You can show this to others to prove what you can do. As you move from B.Com or BBA to data analysis, use your business knowledge to pick projects. For example, you could study how sales change, what customers do, or financial data.

Write down everything you do for these projects, like the problem, the steps you took, what tools you used, and what you found out. This collection will show others what you're capable of.

Step 5: Meeting People and Learning More:

Join online groups and communities where people talk about data analysis. This is a great way to meet other learners, professionals, and experts in the field. You can ask questions and talk about what you're learning.

LinkedIn is also a good place to meet people. Make a strong profile that shows your journey and what you can do. Follow data analysts and companies related to what you're interested in to stay up to date.

Step 6: Gaining Experience:

While you learn, it's also good to get some real experience. Look for internships, small jobs, or freelance work that lets you use your skills with real data. Even if the job isn't all about data, any experience with data is helpful.

Step 7: Updating Your Resume:

When you're ready to apply for data jobs, change your resume to show your journey. Talk about your B.Com or BBA studies, the skills you learned, the courses you took, your projects, and any experience you got. Explain how all of this makes you a great fit for a data job.

Using Lejhro Bootcamp:

When you're thinking about becoming a data analyst, think about using Lejhro Bootcamp. They have a special course just for people like you, who are switching from different fields. The Bootcamp teaches you practical things, has teachers who know what they're talking about, and helps you find a job later.

Moving from B.Com or BBA to a data analyst might seem big, but it's totally doable. With practice, learning, and real work, you can make the switch. Your knowledge about business mixed with data skills makes you a special candidate. So, get ready to learn, practice, and show the world what you can do in the world of data analysis!

***********

[gradsireninc]

How To Get An Online Internship In the IT Sector (Skills And Tips)

Internships provide invaluable opportunities to gain practical skills, build professional networks, and get your foot in the door with top tech companies.

With remote tech internships exploding in IT, online internships are now more accessible than ever. Whether a college student or career changer seeking hands-on IT experience, virtual internships allow you to work from anywhere.

However, competition can be fierce, and simply applying is often insufficient. Follow this comprehensive guide to develop the right technical abilities.

After reading this, you can effectively showcase your potential, and maximize your chances of securing a remote tech internship.

Understand In-Demand IT Skills

The first step is gaining a solid grasp of the most in-demand technical and soft skills. While specific requirements vary by company and role, these competencies form a strong foundation:

Technical Skills:

Proficiency in programming languages like Python, JavaScript, Java, and C++

Experience with front-end frameworks like React, Angular, and Vue.js

Back-end development skills - APIs, microservices, SQL databases Cloud platforms such as AWS, Azure, Google Cloud

IT infrastructure skills - servers, networks, security

Data science abilities like SQL, R, Python

Web development and design

Mobile app development - Android, iOS, hybrid

Soft Skills:

Communication and collaboration

Analytical thinking and problem-solving

Leadership and teamwork

Creativity and innovation

Fast learning ability

Detail and deadline-oriented

Flexibility and adaptability

Obtain Relevant Credentials

While hands-on skills hold more weight, relevant academic credentials and professional IT certifications can strengthen your profile. Consider pursuing:

Bachelor’s degree in Computer Science, IT, or related engineering fields

Internship-specific courses teaching technical and soft skills

Certificates like CompTIA, AWS, Cisco, Microsoft, Google, etc.

Accredited boot camp programs focusing on applied skills

MOOCs to build expertise in trending technologies like AI/ML, cybersecurity

Open source contributions on GitHub to demonstrate coding skills

The right credentials display a work ethic and supplement practical abilities gained through projects.

Build An Impressive Project Portfolio

Nothing showcases skills better than real-world examples of your work. Develop a portfolio of strong coding, design, and analytical projects related to your target internship field.

Mobile apps - publish on app stores or use GitHub project pages

Websites - deploy online via hosting services

Data science - showcase Jupyter notebooks, visualizations

Open source code - contribute to public projects on GitHub

Technical writing - blog posts explaining key concepts

Automation and scripts - record demo videos

Choose projects demonstrating both breadth and depth. Align them to skills required for your desired internship roles.

Master Technical Interview Skills

IT internship interviews often include challenging technical questions and assessments. Be prepared to:

Explain your code and projects clearly. Review them beforehand.

Discuss concepts related to key technologies on your resume. Ramp up on fundamentals.

Solve coding challenges focused on algorithms, data structures, etc. Practice online judges like LeetCode.

Address system design and analytical problems. Read case interview guides.

Show communication and collaboration skills through pair programming tests.

Ask smart, well-researched questions about the company’s tech stack, projects, etc.

Schedule dedicated time for technical interview practice daily. Learn to think aloud while coding and get feedback from peers.

Show Passion and Curiosity

Beyond raw skills, demonstrating genuine passion and curiosity for technology goes a long way.

Take online courses and certifications beyond the college curriculum

Build side projects and engage in hackathons for self-learning

Stay updated on industry news, trends, and innovations

Be active on forums like StackOverflow to exchange knowledge

Attend tech events and conferences

Participate in groups like coding clubs and prior internship programs

Follow tech leaders on social mediaListen to tech podcasts while commuting

Show interest in the company’s mission, products, and culture

This passion shines through in interviews and applications, distinguishing you from other candidates.

Promote Your Personal Brand

In the digital age, your online presence and personal brand are make-or-break. Craft a strong brand image across:

LinkedIn profile - showcase achievements, skills, recommendations

GitHub - displays coding activity and quality through clean repositories

Portfolio website - highlight projects and share valuable content

Social media - post career updates and useful insights, but avoid oversharing

Blogs/videos - demonstrate communication abilities and thought leadership

Online communities - actively engage and build relationships

Ensure your profiles are professional and consistent. Let your technical abilities and potential speak for themselves.

Optimize Your Internship Applications

Applying isn’t enough. You must optimize your internship applications to get a reply:

Ensure you apply to openings that strongly match your profile Customize your resume and cover letters using keywords in the job description

Speak to skills gained from coursework, online learning, and personal projects

Quantify achievements rather than just listing responsibilities

Emphasize passion for technology and fast learning abilities

Ask insightful questions that show business understanding

Follow up respectfully if you don’t hear back in 1-2 weeks

Show interest in full-time conversion early and often

Apply early since competitive openings close quickly

Leverage referrals from your network if possible

This is how you do apply meaningfully. If you want a good internship, focus on the quality of applications. The hard work will pay off.

Succeed in Your Remote Internship

The hard work pays off when you secure that long-awaited internship! Continue standing out through the actual internship by:

Over Communicating in remote settings - proactively collaborate

Asking smart questions and owning your learning

Finding mentors and building connections remotely

Absorbing constructive criticism with maturity

Shipping quality work on or before deadlines

Clarifying expectations frequently

Going above and beyond prescribed responsibilities sometimes

Getting regular feedback and asking for more work

Leaving with letters of recommendation and job referrals

When you follow these tips, you are sure to succeed in your remote internship. Remember, soft skills can get you long ahead in the company, sometimes core skills can’t.

Conclusion

With careful preparation, tenacity, and a passion for technology, you will be able to get internships jobs in USA that suit your needs in the thriving IT sector.

Use this guide to build the right skills, create an impressive personal brand, ace the applications, and excel in your internship.

Additionally, you can browse some good job portals. For instance, GrandSiren can help you get remote tech internships. The portal has the best internship jobs in India and USA you’ll find. The investment will pay dividends throughout your career in this digital age. Wishing you the best of luck! Let me know in the comments about your internship hunt journey.

[gradsiren]

How To Get An Online Internship In the IT Sector (Skills And Tips)

Internships provide invaluable opportunities to gain practical skills, build professional networks, and get your foot in the door with top tech companies.

With remote tech internships exploding in IT, online internships are now more accessible than ever. Whether a college student or career changer seeking hands-on IT experience, virtual internships allow you to work from anywhere.

However, competition can be fierce, and simply applying is often insufficient. Follow this comprehensive guide to develop the right technical abilities.

After reading this, you can effectively showcase your potential, and maximize your chances of securing a remote tech internship.

Understand In-Demand IT Skills

The first step is gaining a solid grasp of the most in-demand technical and soft skills. While specific requirements vary by company and role, these competencies form a strong foundation:

Technical Skills:

>> Proficiency in programming languages like Python, JavaScript, Java, and C++ >> Experience with front-end frameworks like React, Angular, and Vue.js >> Back-end development skills - APIs, microservices, SQL databases >> Cloud platforms such as AWS, Azure, Google Cloud >> IT infrastructure skills - servers, networks, security >> Data science abilities like SQL, R, Python >> Web development and design >> Mobile app development - Android, iOS, hybrid

Soft Skills:

>> Communication and collaboration >> Analytical thinking and problem-solving >> Leadership and teamwork >> Creativity and innovation >> Fast learning ability >> Detail and deadline-oriented >> Flexibility and adaptability

Obtain Relevant Credentials

While hands-on skills hold more weight, relevant academic credentials and professional IT certifications can strengthen your profile. Consider pursuing:

>> Bachelor’s degree in Computer Science, IT, or related engineering fields. >> Internship-specific courses teaching technical and soft skills. >> Certificates like CompTIA, AWS, Cisco, Microsoft, Google, etc. >> Accredited boot camp programs focusing on applied skills. >> MOOCs to build expertise in trending technologies like AI/ML, cybersecurity. >> Open source contributions on GitHub to demonstrate coding skills.

The right credentials display a work ethic and supplement practical abilities gained through projects.

Build An Impressive Project Portfolio

Nothing showcases skills better than real-world examples of your work. Develop a portfolio of strong coding, design, and analytical projects related to your target internship field.

>> Mobile apps - publish on app stores or use GitHub project pages >> Websites - deploy online via hosting services >> Data science - showcase Jupyter notebooks, visualizations >> Open source code - contribute to public projects on GitHub >> Technical writing - blog posts explaining key concepts >> Automation and scripts - record demo videos

Choose projects demonstrating both breadth and depth. Align them to skills required for your desired internship roles.

Master Technical Interview Skills

IT internship interviews often include challenging technical questions and assessments. Be prepared to:

>> Explain your code and projects clearly. Review them beforehand. >> Discuss concepts related to key technologies on your resume. Ramp up on fundamentals. >> Solve coding challenges focused on algorithms, data structures, etc. Practice online judges like LeetCode. >> Address system design and analytical problems. Read case interview guides. >> Show communication and collaboration skills through pair programming tests. >> Ask smart, well-researched questions about the company’s tech stack, projects, etc.

Schedule dedicated time for technical interview practice daily. Learn to think aloud while coding and get feedback from peers.

Show Passion and Curiosity

Beyond raw skills, demonstrating genuine passion and curiosity for technology goes a long way.

>> Take online courses and certifications beyond the college curriculum >> Build side projects and engage in hackathons for self-learning >> Stay updated on industry news, trends, and innovations >> Be active on forums like StackOverflow to exchange knowledge >> Attend tech events and conferences >> Participate in groups like coding clubs and prior internship programs >> Follow tech leaders on social media >> Listen to tech podcasts while commuting >> Show interest in the company’s mission, products, and culture

This passion shines through in interviews and applications, distinguishing you from other candidates.

Promote Your Personal Brand

In the digital age, your online presence and personal brand are make-or-break. Craft a strong brand image across:

>> LinkedIn profile - showcase achievements, skills, recommendations >> GitHub - displays coding activity and quality through clean repositories >> Portfolio website - highlight projects and share valuable content >> Social media - post career updates and useful insights, but avoid oversharing >> Blogs/videos - demonstrate communication abilities and thought leadership >> Online communities - actively engage and build relationships

Ensure your profiles are professional and consistent. Let your technical abilities and potential speak for themselves.

Optimize Your Internship Applications

Applying isn’t enough. You must optimize your internship applications to get a reply:

>> Ensure you apply to openings that strongly match your profile >> Customize your resume and cover letters using keywords in the job description >> Speak to skills gained from coursework, online learning, and personal projects >> Quantify achievements rather than just listing responsibilities >> Emphasize passion for technology and fast learning abilities >> Ask insightful questions that show business understanding >> Follow up respectfully if you don’t hear back in 1-2 weeks >> Show interest in full-time conversion early and often >> Apply early since competitive openings close quickly >> Leverage referrals from your network if possible

This is how you do apply meaningfully. If you want a good internship, focus on the quality of applications. The hard work will pay off.

Succeed in Your Remote Internship

The hard work pays off when you secure that long-awaited internship! Continue standing out through the actual internship by:

>> Over Communicating in remote settings - proactively collaborate >> Asking smart questions and owning your learning >> Finding mentors and building connections remotely >> Absorbing constructive criticism with maturity >> Shipping quality work on or before deadlines >> Clarifying expectations frequently >> Going above and beyond prescribed responsibilities sometimes >> Getting regular feedback and asking for more work >> Leaving with letters of recommendation and job referrals

When you follow these tips, you are sure to succeed in your remote internship. Remember, soft skills can get you long ahead in the company, sometimes core skills can’t.

Conclusion

With careful preparation, tenacity, and a passion for technology, you will be able to get internships jobs in USA that suit your needs in the thriving IT sector.

Use this guide to build the right skills, create an impressive personal brand, ace the applications, and excel in your internship.

Additionally, you can browse some good job portals. For instance, GrandSiren can help you get remote tech internships. The portal has the best internship jobs in India and USA you’ll find.

The investment will pay dividends throughout your career in this digital age. Wishing you the best of luck! Let me know in the comments about your internship hunt journey.

[dhivyakrishnan107667]

Cracking the Code: Explore the World of Big Data Analytics

Welcome to the amazing world of Big Data Analytics! In this comprehensive course, we will delve into the key components and complexities of this rapidly growing field. So, strap in and get ready to embark on a journey that will equip you with the essential knowledge and skills to excel in the realm of Big Data Analytics.

Key Components

Understanding Big Data

What is big data and why is it so significant in today's digital landscape?

Exploring the three dimensions of big data: volume, velocity, and variety.

Overview of the challenges and opportunities associated with managing and analyzing massive datasets.

Data Analytics Techniques

Introduction to various data analytics techniques, such as descriptive, predictive, and prescriptive analytics.

Unraveling the mysteries behind statistical analysis, data visualization, and pattern recognition.

Hands-on experience with popular analytics tools like Python, R, and SQL.

Machine Learning and Artificial Intelligence

Unleashing the potential of machine learning algorithms in extracting insights and making predictions from data.

Understanding the fundamentals of artificial intelligence and its role in automating data analytics processes.

Applications of machine learning and AI in real-world scenarios across various industries.

Reasons to Choose the Course

Comprehensive Curriculum

An in-depth curriculum designed to cover all facets of Big Data Analytics.

From the basics to advanced topics, we leave no stone unturned in building your expertise.

Practical exercises and real-world case studies to reinforce your learning experience.

Expert Instructors

Learn from industry experts who possess a wealth of experience in big data analytics.

Gain insights from their practical knowledge and benefit from their guidance and mentorship.

Industry-relevant examples and scenarios shared by the instructors to enhance your understanding.

Hands-on Approach

Dive into the world of big data analytics through hands-on exercises and projects.

Apply the concepts you learn to solve real-world data problems and gain invaluable practical skills.

Work with real datasets to get a taste of what it's like to be a professional in the field.

Placement Opportunities

Industry Demands and Prospects

Discover the ever-increasing demand for skilled big data professionals across industries.

Explore the vast range of career opportunities in data analytics, including data scientist, data engineer, and business intelligence analyst.

Understand how our comprehensive course can enhance your prospects of securing a job in this booming field.

Internship and Job Placement Assistance

By enrolling in our course, you gain access to internship and job placement assistance.

Benefit from our extensive network of industry connections to get your foot in the door.

Leverage our guidance and support in crafting a compelling resume and preparing for interviews.

Education and Duration

Mode of Learning

Choose between online, offline, or blended learning options to cater to your preferences and schedule.

Seamlessly access learning materials, lectures, and assignments through our user-friendly online platform.

Engage in interactive discussions and collaborations with instructors and fellow students.

Duration and Flexibility

Our course is designed to be flexible, allowing you to learn at your own pace.

Depending on your dedication and time commitment, you can complete the course in as little as six months.

Benefit from lifetime access to course materials and updates, ensuring your skills stay up-to-date.

By embarking on this comprehensive course at ACTE institute, you will unlock the door to the captivating world of Big Data Analytics. With a solid foundation in the key components, hands-on experience, and placement opportunities, you will be equipped to seize the vast career prospects that await you. So, take the leap and join us on this exciting journey as we unravel the mysteries and complexities of Big Data Analytics.

[thedbahub]

Enhancing Security with Application Roles in SQL Server 2022

Creating and managing application roles in SQL Server is a powerful way to enhance security and manage access at the application level. Application roles allow you to define roles that have access to specific data and permissions in your database, separate from user-level security. This means that you can control what data and database objects an application can access, without having to manage…

[zimcommktg]

Internet Solutions: A Comprehensive Comparison of AWS, Azure, and Zimcom

When it comes to finding a managed cloud services provider, businesses often turn to the industry giants: Amazon Web Services (AWS) and Microsoft Azure. These tech powerhouses offer highly adaptable platforms with a wide range of services. However, the question that frequently perplexes businesses is, "Which platform truly offers the best value for internet solutions Surprisingly, the answer may not lie with either of them. It is essential to recognize that AWS, Azure, and even Google are not the only options available for secure cloud hosting.

In this article, we will conduct a comprehensive comparison of AWS, Azure, and Zimcom, with a particular focus on pricing and support systems for internet solutions.

Pricing Structure: AWS vs. Azure for Internet Solutions

AWS for Internet Solutions: AWS is renowned for its complex pricing system, primarily due to the extensive range of services and pricing options it offers for internet solutions. Prices depend on the resources used, their types, and the operational region. For example, AWS's compute service, EC2, provides on-demand, reserved, and spot pricing models. Additionally, AWS offers a free tier that allows new customers to experiment with select services for a year. Despite its complexity, AWS's granular pricing model empowers businesses to tailor services precisely to their unique internet solution requirements.

Azure for Internet Solutions:

Microsoft Azure's pricing structure is generally considered more straightforward for internet solutions. Similar to AWS, it follows a pay-as-you-go model and charges based on resource consumption. However, Azure's pricing is closely integrated with Microsoft's software ecosystem, especially for businesses that extensively utilize Microsoft software.

For enterprise customers seeking internet solutions, Azure offers the Azure Hybrid Benefit, enabling the use of existing on-premises Windows Server and SQL Server licenses on the Azure platform, resulting in significant cost savings. Azure also provides a cost management tool that assists users in budgeting and forecasting their cloud expenses.

Transparent Pricing with Zimcom’s Managed Cloud Services for Internet Solutions:

Do you fully understand your cloud bill from AWS or Azure when considering internet solutions? Hidden costs in their invoices might lead you to pay for unnecessary services.

At Zimcom, we prioritize transparent and straightforward billing practices for internet solutions. Our cloud migration and hosting services not only offer 30-50% more cost-efficiency for internet solutions but also outperform competing solutions.

In conclusion, while AWS and Azure hold prominent positions in the managed cloud services market for internet solutions, it is crucial to consider alternatives such as Zimcom. By comparing pricing structures and support systems for internet solutions, businesses can make well-informed decisions that align with their specific requirements. Zimcom stands out as a compelling choice for secure cloud hosting and internet solutions, thanks to its unwavering commitment to transparent pricing and cost-efficiency.

[analyticspursuit]

SQL, or Structured Query Language, is an essential skill for professionals in the tech industry. It is used to manage and manipulate data in databases and is a common requirement for data analysis, software development, and business intelligence jobs.

With the increasing demand for professionals with SQL skills, it is essential to have a solid understanding of the language and to practice regularly. Many coding platforms are available for practicing SQL, each with its features and exercises.

Throughout this article, we will discuss these platforms and highlight the pros and cons of each, as well as provide examples of exercises that can be completed on each platform. By the end of this article, you'll better understand which platform best suits your learning style and needs.

[cloudatlasinc]

Accelerating transformation with SAP on Azure

Microsoft continues to expand its presence in the cloud by building more data centers globally, with over 61 Azure regions in 140 countries. They are expanding their reach and capabilities to meet all the customer needs. The transition from a cloudless domain like DRDC to the entire cloud platform is possible within no time, and a serverless future awaits. Microsoft gives the platform to build and innovate at a rapid speed. Microsoft is enhancing new capabilities to meet cloud services' demands and needs, from IaaS to PaaS Data, AI, ML, and IoT. There are over 600 services available on Azure with a cloud adoption framework and enterprise-scale landing zone. Many companies look at Microsoft Azure security compliance as a significant migration driver. Microsoft Azure has an extensive list of compliance certifications across the globe. The Microsoft services have several beneficial characteristics; capabilities are broad, deep, and suited to any industry, along with a global network of skilled professionals and partners. Expertise in the Microsoft portfolio includes both technology integration and digital transformation. Accountability for the long term, addressing complex challenges while mitigating risk. Flexibility to engage in the way that works for you with the global reach to satisfy the target business audience.

SAP and Microsoft Azure

SAP and Microsoft bring together the power of industry-specific best practices, reference architectures, and professional services and support to simplify and safeguard your migration to SAP in the cloud and help manage the ongoing business operations now and in the future. SAP and Microsoft have collaborated to design and deliver a seamless, optimized experience to help manage migration and business operations as you move from on-premises editions of SAP solutions to SAP S/4 HANA on Microsoft Azure. It reduces complexity, minimizes costs, and supports end-to-end SAP migration and operations strategy, platform, and services. As a result, one can safeguard the cloud migration with out-of-box functionality and industry-specific best practices while immaculately handling the risk and optimizing the IT environment. Furthermore, the migration assimilates best-in-class technologies from SAP and Microsoft, packed with a unified business cloud platform. 

SAP Deployment Options on Azure

SAP system is deployed on-premises or in Azure. One can deploy different systems into different landscapes either on Azure or on-premises. SAP HANA on Azure large instances intend to host the SAP application layer of SAP systems in Virtual Machines and the related SAP HANA instance on the unit in the 'SAP HANA Azure Large Instance Stamp.' 'A Large Instance Stamp' is a hardware infrastructure stack that is SAP HANA TDI certified and dedicated to running SAP HANA instances within Azure. 'SAP HANA Large Instances' is the official name for the solution in Azure to run HANA instances on SAP HANA TDI certified hardware that gets deployed in ‘Large Instance Stamps’ in different Azure regions. SAP or HANA Large Instances or HLI are physical servers meaning bare metal servers. HLI does not reside in the same data center as Azure services but is in close proximity and connected through high throughput links to satisfy SAP HANA network latency requirements. HLI comes in two flavors- Type 1 and 2. IaaS can install SAP HANA on a virtual machine running on Azure. Running SAP HANA on IaaS supports more Linux versions than HLI. For example, you can install SAP Netweaver on Windows and Linux IaaS Virtual Machines on Azure. SAP HANA can only run on RedHat and SUSE, while NetWeaver can run on windows SQL and Linux.

Azure Virtual Network

Azure Virtual Network or VNET is a core foundation of the infrastructure implementation on Azure. The VNET can be a communication boundary for those resources that need to communicate. You can have multiple VNETs in your subscription. If they weren't connected, we could call them Pierre in Azure wall; there will be no traffic flow in between. They can also share the same IP range. Understanding the requirements and proper setup is essential as changing them later, especially with the running production workloads, could cause downtime. When you provision a VNET, The private blocks must allocate address space. If you plan to connect multiple VNETs, you cannot have an overlapping address space. The IP range should not clash or overlap with the IP addressing in Azure while connecting on-premise to Azure via express route or site-site VPN. Configuring VNET to the IP address space becomes a DHP service. You can configure VNET with the DNS server's IP addresses to resolve services on-premise.VNETS can be split into different subnets and communicate freely with each other. Network security groups or NSGs are the control planes we use to filter traffic. NSGs are stateful but simple firewall rules based on the source and destination IP and ports.

 Azure Virtual Gateway

 For extensive connectivity, you must create a virtual gateway subnet. When you create a virtual gateway, you will get prompted for two options: VPN or Express Route Gateway; with VPN, you cannot connect to the Express Route Circuit. If you choose the Express Route Virtual Gateway, you can combine both.

 There are two types of VPN;

1) The point-to-site VPN is used for testing and gives the lowest throughput.

2) The site-site VPN connection can offer better benefits by bridging networks.

This VPN offers zero support for SLA and uses this connection as a backup for the recommended connection on Azure, called the express route. Express route is a dedicated circuit using hardware installed on your data center, with a constant link to ‘Microsoft Azure Edge’ devices. Express route is inevitable for maintaining the communication between application VNET running in Azure and on-premise systems to HLI servers. The express route is safer and more resilient than VPN as it provides a connection through a single circuit and facilitates second redundancy; this helps route traffic between SAP application servers inside Azure and enables low latency. Furthermore, the fast path allows routine traffic between SAP application servers inside Azure VNET and HLI through an optimized route that bypasses the virtual network gateway and directly hops through edge routers to HLA servers. Therefore, an ultra-performance express route gateway must have a Fast Path feature.

SAP HANA Architecture (VM)

This design gets centered on the SAP HANA backend on the Linux Suse or RedHat distributions. Even though the Linux OS implementation is the same, the vendor licensing differs. It incorporates always-on replication and utilizes synchronous and asynchronous replication to meet the HANA DB requirements. We have also introduced NetApp file share for DFS volumes used by each SAP component using Azure site recovery and building a DR plan for App ASCs and the web dispatches servers. Azure Active directory is used in synchronization with on-premises active directory, as SAP application user authenticates from on-premises to SAP landscape on Azure with Single Sign-On credentials. Azure high-speed express route gateway securely connects on-premises networks to Azure virtual machines and other resources. The request flows into highly available SAP central, SAP ABAP services ASCS and through SAP application servers running on Azure virtual machines. The on-demand request moves from the SAP App server to the SAP HANA server running on a high-performance Azure VM. Primary active and secondary standby servers run on SAP-certified virtual machines with a cluster availability of 99.95 at the OS level. Data replication is handled through HSR in synchronous mode from primary to secondary enabling zero recovery point objective. SAP HANA data is replicated through a disaster recovery VM in another Azure region through the Azure high-speed backbone network and using HSR in asynchronous mode. The disaster recovery VM can be smaller than the production VM to save costs.

SAP systems are network sensitive, so the network system must factor the design decisions into segmenting the VNETs and NSGs. To ensure network reliability, we must use low latency cross-connections with sufficient bandwidth and no packet loss. SAP is very sensitive to these metrics, and you could experience significant issues if traffic suffers latency or packet loss between the application and the SAP system. We can use proximity placement groups called PGS to force the grouping of different VM types into a single Azure data center to optimize the network latency between the different VM types to the best possible.

 Security Considerations

 Security is another core pillar of any design. Role-based Access control (RBAC) gets accessed through the Azure management bay. RBAC is backed up through AD using cloud-only synchronized identities. Azure AD can back up the RBAC through cloud-only or synchronized identities. RBAC will tie in those cloud or sync identities to Azure tenants, where you can give personal access to Azure for operational purposes. Network security groups are vital for securing the network traffic both within and outside the network environment. The NSGs are stateful firewalls that preserve session information. You can have a single NSG per subnet, and multiple subnets can share the same energy. Application security group or ASG handles functions such as web servers, application servers, or backend database servers combined to perform a meaningful service. Resource encryption brings the best of security with encryption in transit. SAP recommends using encryption at rest, so for the Azure storage account, we can use storage service encryption, which would use either Microsoft or customer-managed keys to manage encryption. Azure storage also adds encryption in transit, with SSL using HTTPS traffic. You can use Azure Disk Encryption (ADE) for OS and DBA encryption for SQL.

Migration of SAP Workloads to Azure

The most critical part of the migration is understanding what you are planning to migrate and accounting for dependencies, limitations, or even blockers that might stop your migration. Following an appropriate inventory process will ensure that your migration completes successfully. You can use in-hand tools to understand the current SAP landscape in the migration scope. For example, looking at your service now or CMDB catalog might reveal some of the data that expresses your SAP system. Then take that information to start drawing out your sizing in Azure. It is essential to ensure that we have a record of the current environment configuration, such as the number of servers and their names, server roles, and data about CPU and memory. It is essential to pick up the disk sizes, configuration, and throughput to ensure that your design delivers a better experience in Azure. It is also necessary to understand database replication and throughput requirements around replicas. When performing a migration, the sizing for large HANA instances is no different from sizing for HANA in general. For existing and deployment systems you want to move from other RDBMS to HANA, SAP provides several reports that run on your existing SAP systems. If migrating the database to HANA, these reports need to check the data and calculate memory requirements for the HANA instances.

When evaluating high availability and disaster recovery requirements, it is essential to consider the implications of choosing between two-tier and three-tier architectures. To avoid network contention in a two-tier arrangement, install database and Netweaver components on the same Azure VM. The database and application components get installed in three-tier configurations on separate Azure Virtual Machines. This choice has other implications regarding sizing since two-tier, and three-tier SAP ratings for a given VM differs. The high availability option is not mandatory for the SAP application servers.

You can achieve high availability by employing redundancy. To implement it, you can install individual application servers on separate Azure VMs. For example, you can achieve high availability for ASCS and SCS servers running on windows using windows failover clustering with SIOS data keeper. We can also achieve high availability with Linux clustering using Azure NetApp files. For DBMS servers, you should use DB replication technology using redundant nodes. Azure offers high availability through redundancy of its infrastructure and capabilities, such as Azure VM restarts, which play an essential role in a single VM deployment. In addition, Azure offers different SLAs depending on your configuration. For example, SAP landscapes organize SABC servers into different tiers; there are three diverse landscapes: deployment, quality assurance, and production.

Migration Strategies:- SAP landscapes to Azure

 Enterprises have SAP systems for business functions like Enterprise Resource Planning(ERP), global trade, business intelligence(BI), and others. Within those systems, there are different environments like sandbox developments, tests, and production. Each horizontal row is an environment, and each vertical dimension is the SAP system for a business function. The layers at the bottom are lower-risk environments and are less critical. Those towards the top are in high-risk environments and are more critical. As you move up the stack, there is more risk in the migration process. Production is the more critical environment. The use of test environments for business continuity is of concern. The systems at the bottom are smaller and have fewer computing resources, lower availability, size requirements, and less throughput. They have the same amount of storage as the production database with a horizontal migration strategy. To gain experience with production systems on Azure, you can use a vertical approach with low-risk factors in parallel to the horizontal design.

 Horizontal Migration Strategy

 To limit risk, start with low-impact sandboxes or training systems. Then, if something goes wrong, there is little danger associated with users or mission-critical business functions. After gaining experience in hosting, running, and administering SAP systems in Azure, apply to the next layer of systems up the stack. Then, estimate costs, limiting expenditures, performance, and optimization potential for each layer and adjust if needed.

Vertical Migration Strategy

The cost must be on guard along with legal requirements. Move systems from the sandbox to production with the lowest risk. First, the governance, risk, compliance system, and the object Event Repository gets driven towards production. Then the higher risk elements like BI and DRP. When you have a new system, it's better to start in Azure default mode rather than putting it on-premises and moving it later. The last system you move is the highest risk, mission-critical system, usually the ERP production system. Having the most performance virtual machines, SQL, and extensive storage would be best. Consider the earliest migration of standalone systems. If you have different SAP systems, always look for upstream and downstream dependencies from one SAP system to another.

Journey to SAP on Azure

Consider two main factors for the migration of SAP HANA to the cloud. The first is the end-of-life first-generation HANA appliance, causing customers to reevaluate their platform. The second is the desire to take advantage of the early value proposition of SAP business warehouse BW on HANA in a flexible DDA model over traditional databases and later BW for HANA. As a result, numerous initial migrations of SAP HANA to Microsoft Azure have focused on SAP BW to take advantage of SAP HANA's in-memory capability for the BW workloads. In addition, using the SAP database migration option DMO with the System Migration option of SUM facilitates single-step migration from the source system on-premises to the target system residing in Azure. As a result, it minimizes the overall downtime. In general, when initiating a project to deploy SAP workloads to Azure, you should divide it into the following phases. Project preparation and planning, pilot, non-production, production preparation, go-live, and post-production.

Use Cases for SAP Implementation in Microsoft Azure

 Use  cases

How  does Microsoft Azure help?

How  do organizations benefit?

Deliver  automated disaster recovery with low RPO and RTO

Azure  recovery services replicate on-premises virtual machines to Azure and  orchestrate failover and failback

RPO  and RTO get reduced, and the cost of ownership of disaster recovery (DR)  infrastructure diminishes. While the DR systems replicate, the only cost  incurred is storage

Make  timely changes to SAP workloads by development teams

200-300  times faster infrastructure provisioning and rollout compared to on-premises,  more rapid changes by SAP application teams

Increased  agility and the ability to provision instances within 20 minutes

Fund  intermittently used development and test infrastructure for SAP workloads

Supports  the potential to stop development and test systems at the end of business day

Savings  as much as 40-75 percent in hosting costs by exercising the ability to control  instances when not in use

Increase  data center capacity to serve updated SAP project requests

Frees  on-premises data center capacity by moving development and test for SAP  workloads to Microsoft Azure without upfront investments

Flexibility  to shift from capital to operational expenditures

Provide  consistent training environments based on templates

Ability  to store and use pre-defined images of the training environment for updated  virtual machines

Cost  savings by provisioning only the instances needed for training and then  deleting them when the event is complete

Archive  historical systems for auditing and governance

Supports  migration of physical machines to virtual machines that get activated when  needed

Savings  of as much as 60 percent due to cheaper storage and the ability to quickly  spin up systems based on need.

  References

n.d. Microsoft Azure: Cloud Computing Services. Accessed June 13, 2022. http://azure.microsoft.com.

n.d. All Blog Posts. Accessed June 13, 2022. https://blogs.sap.com.

n.d. Cloud4C: Managed Cloud Services for Enterprises. Accessed June 13, 2022. https://www.cloud4c.com.

n.d. NetApp Cloud Solutions | Optimized Storage In Any Cloud. Accessed June 13, 2022. http://cloud.netapp.com.

[21st-century-minutiae]

In the early twenty-first century, SQL injection is a common (and easily preventable) form of cyber attack. SQL databases use SQL statements to manipulate data. For example (and simplified), "Insert 'John' INTO Enemies;" would be used to add the name John to a table that contains the list of a person's enemies. SQL is usually not done manually. Instead it would be built into a problem. So if somebody made a website and had a form where a person could type their own name to gain the eternal enmity of the website maker, they might set things up with a command like "Insert '<INSERT NAME HERE>' INTO Enemies;". If someone typed 'Bethany' it would replace <INSERT NAME HERE> to make the SQL statement "Insert 'Bethany' INTO Enemies;"

The problem arises if someone doesn't type their name. If they instead typed "Tim' INTO Enemies; INSERT INTO [Friends] SELECT * FROM [Powerpuff Girls];--" then, when <INSERT NAME HERE> is replaced, the statement would be "Insert 'Tim' INTO Enemies; INSERT INTO [Friends] SELECT * FROM [Powerpuff Girls];--' INTO Enemies;" This would be two SQL commands: the first which would add 'Tim' to the enemy table for proper vengeance swearing, and the second which would add all of the Powerpuff Girls to the Friend table, which would be undesirable to a villainous individual.

SQL injection requires knowing a bit about the names of tables and the structures of the commands being used, but practically speaking it doesn't take much effort to pull off. It also does not take much effort to stop. Removing any quotation marks or weird characters like semicolons is often sufficient. The exploit is very well known and many databases protect against it by default.

People in the early twenty-first century probably are not familiar with SQL injection, but anyone who works adjacent to the software industry would be familiar with the concept as part of barebones cybersecurity training.