SQL skills still underappreciated in tech industry

Most SQL beginners struggle with this question. Not because it’s hard. But because they ignore the rules. “Find Users With Valid Emails” looks simple. But it tests one key skill: Can you translate logic into patterns? The trick is not SQL. It’s thinking. Break it down: What should the prefix look like? What characters are allowed? What must the email end with? Once you understand the structure, the query becomes easy. SQL isn’t just about joins and aggregates. It’s about clarity. Think in rules. Convert into logic. Then write the query. If you're learning SQL right now… What confuses you more: Regex or joins? . #SQL, #DataAnalytics, #SQLLearning, #LearnSQL, #DataAnalyst, #TechCareers, #CodingJourney .

call me old fashioned but there’s still something thrilling about writing a sql query solo on a tight deadline. character building.

SQL can seem intimidating at first, but most real-world queries rely on a few fundamental concepts. By mastering these 20 SQL concepts, you'll be ahead of many aspiring data analysts and developers: ✅ SELECT ✅ WHERE ✅ JOIN ✅ GROUP BY ✅ ORDER BY ✅ Subqueries ✅ HAVING ✅ INSERT / UPDATE / DELETE and more. Remember, don't try to learn everything in one day. Build queries, break them, debug them, and repeat. This practice is key to truly understanding SQL. Which SQL concept took you the longest to grasp? For me, JOINs and Subqueries were the toughest challenges. #SQL #DataAnalytics #DataEngineering #Database #LearningSQL #SQLQueries #TechSkills #Programming #CareerGrowth #DataAnalyst #SoftwareEngineering #BeginnersGuide

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🚀 Day 5/10 — Optimization Series SQL Performance Tips (Write Faster Queries) 👉 Basics are done. 👉 Now we move from working code → optimized code. You write a query… It gives correct results… But it’s slow on large data 😐 👉 That’s where optimization matters. 🔹 1. Avoid SELECT * SELECT * FROM employees; ❌ SELECT name, salary FROM employees; ✅ 👉 Fetch only what you need 🔹 2. Filter Early SELECT * FROM employees WHERE department = 'IT'; 👉 Reduces data before processing 🔹 3. Use Proper Indexes 👉 Index frequently used columns 👉 Improves query speed 🔹 4. Avoid Unnecessary Joins 👉 Join only required tables 👉 Extra joins = extra cost 🔹 5. Limit Data SELECT * FROM employees LIMIT 10; 👉 Useful for testing & performance 🔹 Why This Matters Faster execution Reduced resource usage Scalable queries 🔹 Real Insight 👉 SQL performance is not just about correctness 👉 It’s about efficiency 💡 Quick Summary Small changes → big performance impact 💡 Something to remember A correct query gives results… An optimized query gives results faster. #SQL #Python #DataEngineering #LearningInPublic #TechLearning

Most developers write SQL in one order—but the database executes it in another. Understanding SQL’s logical execution order is the key to writing better queries, debugging faster, and mastering advanced SQL. 🔄 SQL Execution Order: 1. FROM / JOIN – Build the initial dataset 2. WHERE – Filter rows 3. GROUP BY – Group the filtered data 4. HAVING – Filter grouped results 5. SELECT – Choose the columns to return 6. DISTINCT – Remove duplicates 7. ORDER BY – Sort the final result 8. LIMIT / OFFSET – Return only the required rows 💡 Why this matters: * Explains why aliases don’t work in WHERE * Helps you debug GROUP BY and HAVING issues * Makes query optimization much easier * Improves your confidence in writing complex SQL If you’ve ever wondered why SQL behaves “weirdly,” this execution order is usually the answer. Save this for your next SQL interview or debugging session. 📌 Save this post 🔁 Repost to help others 👨💻 Follow Abhishek Sharma for more such content #SQL #Database #DataEngineering #BackendDevelopment #Programming #SoftwareEngineering #LearnSQL #TechTips #Coding

✅ Solved a SQL problem on LeetCode — Day 43 of my SQL Journey 💪 Text looks simple… until you try to handle every edge case ✍️ Today’s problem was about transforming text — capitalising the first letter of each word, while handling special cases like hyphens correctly. I used recursive logic and string operations to: • Break text into individual characters using recursive CTE • Track previous characters using window functions • Identify word boundaries and special cases • Apply conditional uppercase/lowercase transformations • Reconstruct the final string using GROUP_CONCAT What I practised: • Recursive CTEs for step-by-step processing • Using LAG() to track character-level context • Writing precise CASE conditions for formatting • Handling edge cases like hyphenated words What stood out — Text transformations aren’t just formatting… they’re about handling context. A single character can change the logic, and missing one condition can break everything. That’s where attention to detail matters most. SQL isn’t just for numbers and aggregations. It can handle complex text logic too. Consistent learning, one query at a time 🚀 #SQL #LeetCode #SQLPractice #DataAnalytics #LearningInPublic

🧠 20 SQL Concepts That ACTUALLY Matter If SQL feels confusing… It’s not hard ❌ You’re just looking at it all at once 😵💫 Let’s simplify it 👇 🔥 Core Concepts (Must Know) 👉 SELECT, WHERE, JOIN 👉 GROUP BY, ORDER BY 💡 These alone solve 70% of real problems ⚙️ Data Operations 👉 INSERT, UPDATE, DELETE 👉 TRANSACTION 💀 Basically: Create → Change → Destroy (developer life 😂) 🔗 Relationships & Structure 👉 PRIMARY KEY 👉 FOREIGN KEY 👉 INDEX 💡 These decide how FAST & CLEAN your data is 🧩 Advanced Concepts 👉 SUBQUERY, HAVING 👉 DISTINCT, UNION 👉 VIEW, CASE, TRIGGER ⚠️ This is where interviews get spicy 🌶️ 🎯 Reality Check: You don’t need 100 concepts… You need clarity on the RIGHT ones 💡 Pro Tip: Learn SQL like this: 👉 Concept → Practice → Real Problem 🚀 Once you master this… SQL goes from “confusing” → “powerful tool” 👉 Save this (your future self will thank you) 👉 Share with your coding gang 👉 Follow for more SQL breakdowns #SQL #DataAnalytics #DataScience #Coding #Programming #LearnSQL #TechSkills #InterviewPrep

Good day, Everyone! 😳 “My query returned 2534 rows… then suddenly 0.” Yesterday, one of my students ran a simple SQL filter: 👉 WHERE LOWER(LTRIM(RTRIM(status))) != 'cancelled' Before applying the filter: ✅ 2534 rows After applying the filter: ❌ 0 rows He looked at me and said: “Sir… SQL is broken.” I smiled and asked him one question: 👉 “How many of those 2534 rows have NULL in status?” Silence. 💡 Here’s what actually happened: In SQL, NULL is not a value. It’s unknown. So when you write: 👉 NULL != 'cancelled' It doesn’t return TRUE. It doesn’t return FALSE. It returns… ❓ UNKNOWN And SQL’s WHERE clause only keeps TRUE. 🚨 Result? All NULL rows are silently removed. And if the remaining rows were actually 'cancelled'… 👉 You get 0 rows 🎯 That one concept leads to powerful interview questions: 1️⃣ Why does NULL != 'cancelled' fail? 2️⃣ What are the 3 logical states in SQL? 3️⃣ How do you fix this condition? 4️⃣ When should you use IS NULL vs COALESCE? 5️⃣ How do you debug such issues in real projects? 🔥 Real learning: “Most SQL bugs are not syntax errors… they are logic errors.” If you’re learning SQL or teaching it — understanding NULL will save you hours of debugging. 💬 Comment “NULL” and I’ll share the correct query fix + explanation. #SQL #DataEngineering #MicrosoftFabric #Learning #DataAnalytics #AnalyticsExplainedByHarish

📊 Recently, I took some time to revisit core SQL concepts while practicing query-based problems on LeetCode. It was a great way to strengthen fundamentals like: • JOINs and subqueries • GROUP BY & aggregation • Window functions • Writing optimized queries for real-world scenarios Along with problem-solving, I also revised important database concepts such as ACID properties and Normalization, which are essential for designing reliable and scalable systems. To keep everything in one place, I’ve created a concise PDF that includes: ✔ Common SQL queries (interview-focused) ✔ Clear explanation of ACID properties ✔ Normalization concepts with examples Sharing it here in case it helps others who are preparing for SQL interviews or brushing up their basics. #SQL #LeetCode #Database #BackendDevelopment #InterviewPreparation #LearningJourney