SQL Server Revision Journey: Advanced Problem-Solving

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

🚀 SQL Basics – Day 9: Stored Procedures (Super Simple) Today let’s learn how to save SQL logic and reuse it anytime 💡 👇 🔍 What is a Stored Procedure? 👉 A saved SQL code 👉 You can run it anytime 🧠 “Like a function in SQL” --- 📌 Create Procedure 💡 "CREATE PROCEDURE GetEmployees() BEGIN SELECT * FROM employees; END;" 👉 Save your query --- ▶️ Run Procedure 💡 "CALL GetEmployees();" 👉 Execute anytime --- ✏️ Procedure with Parameter 💡 "CREATE PROCEDURE GetByDept(IN dept_name VARCHAR(50)) BEGIN SELECT * FROM employees WHERE department = dept_name; END;" 👉 Pass value while running --- 😄 Easy way to remember: Procedure = Saved code CREATE = Save CALL = Run Parameter = Input value --- ✨ Conclusion: Stored procedures save time and reduce repeated work 💪 They make your SQL more powerful and reusable 🚀 📌 Work smart by writing once and using many times! #SQL #DataAnalytics #SQLBasics #StoredProcedure #LearningSQL #Day9 #DataAnalyst

🚀 From Beginner to Advanced in SQL! I’ve started a structured journey to master SQL step-by-step — covering everything from basics to performance tuning. 📌 What I’m learning: • SQL fundamentals & database concepts • Data types, functions & queries • Joins (basic to advanced) • Subqueries, aggregation & grouping • Indexing & query optimization Consistency over intensity. Let’s grow daily! 💡 #SQL #DataAnalytics #LearningJourney #TechSkills #CareerGrowth #SAMAITechnologies

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

Learn how to create SQL tables in InterSystems IRIS and understand how they are automatically represented as object classes, helping beginners see the connection between relational and object-based approaches. https://lnkd.in/eZzgcxBt @InterSystems #InterSystems

Learn how to create SQL tables in InterSystems IRIS and understand how they are automatically represented as object classes, helping beginners see the connection between relational and object-based approaches. https://lnkd.in/dQFrmteW @InterSystems #InterSystems

Learn how to create SQL tables in InterSystems IRIS and understand how they are automatically represented as object classes, helping beginners see the connection between relational and object-based approaches. https://lnkd.in/dxtaTtNw @InterSystems #InterSystems

Learn how to create SQL tables in InterSystems IRIS and understand how they are automatically represented as object classes, helping beginners see the connection between relational and object-based approaches. https://lnkd.in/gc84WdVU @InterSystems #InterSystems

SQL Mistake #3: Tiny errors… BIG impact 😭 Today I learned how 2 small mistakes completely broke my SQL query 👇 ❌ Mistake 1: Trailing comma before FROM sum(case when state='approved' then amount else 0 end) as approved_total_amount, FROM Transactions 👉 That extra comma made SQL expect another column… and instead it found FROM 💀 ❌ Mistake 2: COUNT with ELSE 0 COUNT(CASE WHEN state = 'approved' THEN 1 ELSE 0 END) 👉 I thought I was counting only approved rows… But: COUNT() counts non-NULL values 0 is NOT NULL 😭 → So it counted ALL rows ✅ Fix: COUNT(CASE WHEN state = 'approved' THEN 1 END) sum(case when state='approved' then amount else 0 end) as approved_total_amount FROM Transactions 💡 Lessons I’ll never forget: Don’t put a comma after the last column COUNT ignores NULL, not 0 These mistakes didn’t test my SQL knowledge… They tested my attention to detail. Documenting my SQL mistakes daily so I never repeat them again 🚀 #SQL #DataAnalytics #LearningInPublic #MistakesToMastery #100DaysOfSQL

Learn how to create SQL tables in InterSystems IRIS and understand how they are automatically represented as object classes, helping beginners see the connection between relational and object-based approaches. https://lnkd.in/g2rq92mi @InterSystems #InterSystems