Akansha Sharma’s Post

Writing a SQL query is easy. Writing a good SQL query is different. Over time, I realized a few things matter a lot when working with real data: Select only what you need Filter data as early as possible Use indexes wisely Think about execution, not just syntax A query that works is not always a query that scales. This becomes very clear when working with large datasets. Lesson I learned: Always think about performance — not just correctness. What’s one SQL habit that improved your queries? #SQL #SQLServer #DatabaseOptimization #DataEngineering #TechTips

SQL Cheat Sheet👇 SQL isn’t just about writing queries it’s about understanding how they execute. Every query follows a flow: FROM → WHERE → GROUP BY → HAVING → SELECT → ORDER BY → LIMIT This means data is first picked, then filtered, grouped, and only at the end selected and sorted. Once you understand this sequence along with basics like JOINs and aggregations, your queries become more accurate and efficient. #SQL #DataAnalytics #DataEngineering #Learning #TechSkills

SQL fundamentals feel complex… until you see the system behind it. Think like this: • Server → Database → Schema → Table → Like a city → building → floor → room • Row → One person’s record • Column → One type of detail (name, salary) • Primary Key → Aadhaar/unique ID Now SQL logic: • SELECT → What do you want? • FROM → Where from? • WHERE → Which ones? • GROUP BY → Combine similar • HAVING → Filter groups • ORDER BY → Sort results Real twist most beginners miss: You write SQL top → down But database runs it inside → out Lesson: SQL is not syntax. It’s structured thinking + logical flow. Once you understand the system → everything else becomes easy #SQL #DataEngineering #DataAnalytics #LearnSQL #CodingTips #TechLearning #Database #DataScience #DevCommunity

Day 27 of my SQL Night Learning Journey 🌙 Today, I learned about the SELECT INTO statement, and it made things feel a lot more practical. In simple terms, SELECT INTO helps you create a new table from an existing one while copying the data into it at the same time. Think of it like: “Take this table, duplicate it, and save it as a new one.” This is especially useful when: You want to create a backup of your data You need a temporary table to run the analysis without touching the original data One important thing I learned: The new table copies the columns and data types, but it does NOT automatically include things like: Primary keys Indexes NOT NULL constraints So it’s not a perfect clone, but it gets the job done for most use cases. A simple example that stood out to me: Creating a backup of a table by copying everything into a new one. Little by little, SQL is starting to feel less intimidating and more like a tool I can actually use 🛠️ #SQL #LearningInPublic #DataAnalytics #BeginnerFriendly #TechJourney #Consistency #WomenInTech

SQL looked simple to me at first, just a few commands like SELECT, WHERE, and JOIN. However I realised how deep it actually is. The more I explore, the more ways I see to structure and retrieve data depending on the problem. It’s the kind of skill that never really loses its value with practice. It feels like something that never really gets old, no matter how much you practice. #SQL #DataSkills

One of the best decisions I made last year was investing in Silvia W. 's masterclass to learn SQL properly. Not just the syntax but how SQL works in real business world. Before then, I thought SQL was just about writing queries... SELECT this JOIN that GROUP BY something But I was wrong! SQL is not just about writing queries. It's about understanding the business problem before even touching the keyboard. I stopped memorizing queries and started understanding logic. And that shift changed everything for me! #DataAnalytics #SQL #LearningJourney

No matter how long you’ve worked with SQL, you always end up revisiting the basics. Joins, CTEs, window functions, optimization — fundamentals never stop being useful. Sometimes the best learning is simply going back to the core. 🚀 What’s one SQL concept you use all the time? #SQL #DataAnalytics #ContinuousLearning #LearningJourney #TechCommunity

Second step in my transition — building a strong foundation in SQL. Over the past few days, I focused on learning and practicing core SQL concepts, moving beyond basics. Covered: · Subqueries · Joins · Aggregations · Stored Procedures · User-Defined Functions Instead of just learning syntax, I worked on understanding how these concepts are used to handle structured data and solve real problems. Currently applying these concepts in small practice datasets and preparing for more project-based work next. Step by step — focusing on building practical skills. #SQL #DataAnalytics

SQL isn’t just about writing queries… it’s about understanding how data really works. From SELECT, JOINs, and WHERE → to functions, keys, and performance — everything connects like layers of a cake 🍰 The more you explore, the more powerful your queries become. Still learning, still querying 🚀 #SQL #DataAnalytics #Learning #Database

Day 15 of my SQL series Today I covered window functions using ROW_NUMBER. This allows us to rank data without grouping it — a very powerful concept in SQL. Next: RANK & DENSE_RANK #SQL #DataAnalytics #Learning #CareerGrowth