Mottaki Billah’s Post

Recently attended an expert session on “Mastering SQL Queries” by Abhimanyu Tiwari. What stood out for me was how much depth there is beyond basic queries optimization, structuring queries properly, and actually understanding how databases work internally. Definitely made me realize I need to go deeper into SQL. #SQL #Learning #Growth #Tech

Optimizing SQL queries isn’t just about speed it’s about writing smarter, scalable, and efficient code. Sharing a useful resource on SQL Query Optimization that covers key techniques to improve performance and reduce execution time. Perfect for anyone looking to level up their SQL skills. #SQL #DataEngineering #DataAnalytics #QueryOptimization #PerformanceTuning #Database #Learning #CareerGrowth #TechCommunity

🚀 SQL Journey – Day 32: Recursive CTE (Hierarchical Queries) Today I explored Recursive CTEs in SQL, a powerful concept used to work with hierarchical and parent-child data structures. A Recursive CTE (Common Table Expression) is a CTE that references itself repeatedly until a condition is met. 🔹 Basic Structure: - Anchor Query → starting point / base data - UNION ALL → combines results - Recursive Query → keeps fetching next level data - Stops when no more rows are returned 💡 Where it is used? ✔ Employee Hierarchy ✔ Organization Charts ✔ Category & Subcategory Trees ✔ Parent-Child Relationships ✔ Tree Structured Data 📌 Key Learnings: - Always use UNION ALL - Start with a strong base query - Prevent infinite loops - Limit recursion depth when needed Example use case: finding all employees under a manager in an organizational hierarchy. Learning Recursive CTEs helped me understand how SQL can efficiently handle multi-level relationships and tree structures. #SQL #SQLJourney #Day32 #RecursiveCTE #CTE #HierarchicalQueries #DataAnalytics #DataAnalyst #LearningInPublic #LinkedInLearning

🚀 Day 32 – SQL Journey | Recursive CTEs & Hierarchical Queries Today, I dived deeper into one of the most powerful SQL concepts — Recursive CTEs and Hierarchical Queries. This concept helped me understand how complex problems can be broken into base and recursive parts, making it easier to solve structured data challenges. 🔍 What I Learned: ✔ Recursive CTE concept (base + recursive logic) ✔ Handling hierarchical data in SQL 📌 Hierarchy Functions Explored: • START WITH • CONNECT BY PRIOR • LEVEL • SYS_CONNECT_BY_PATH • CONNECT_BY_ROOT 🛠 Interview Problems Solved: 1️⃣ Print values from 1 to N using recursion 2️⃣ Find multiple missing values in a sequence 💡 Key Insight: Recursive CTEs are extremely useful for handling hierarchical and sequential data problems, which are very common in real-world applications. Step by step, getting more confident with SQL every day 💪 #SQL #LearningJourney #Day32 #RecursiveCTE #Database #Coding

Hello everyone! 👋 Welcome to Day 2 of #100DaysOfSQL 🚀 👉 Topic: Types of SQL Commands SQL commands are mainly divided into different categories based on their functionality. 👉 1. DDL (Data Definition Language) Used to define and modify database structure. Examples: - CREATE - ALTER - DROP - TRUNCATE 👉 2. DML (Data Manipulation Language) Used to manage data inside tables. Examples: - INSERT - UPDATE - DELETE 👉 3. DQL (Data Query Language) Used to retrieve data from the database. Example: - SELECT 👉 4. DCL (Data Control Language) Used to control access to data. Examples: - GRANT - REVOKE 👉 5. TCL (Transaction Control Language) Used to manage transactions. Examples: - COMMIT - ROLLBACK - SAVEPOINT 👉 Examples: CREATE TABLE students (id INT, name VARCHAR(50)); INSERT INTO students VALUES (1, 'John'); SELECT * FROM students; 👉 Key Takeaway: Understanding SQL command types helps you organize and write efficient queries. #SQL #LearningJourney #DataAnalytics #100DaysOfSQL

Rather than solving cumulative calculations with a complex self-join, learning window frames like ROWS BETWEEN can make your SQL much more readable. It simplifies the logic, and makes the query easier to understand for both you and others. #SQL #DataAnalytics #DataProfessional

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

Smart SQL Tips for Better Performance We know small SQL changes can make a big difference • Understand tables & relationships • Avoid SELECT * — fetch only what you need • Write clean & readable queries • Use indexing wisely • Master JOINs like a pro • Optimize using WHERE & LIMIT Small SQL improvements = Faster results Learn SQL with real projects at Technogeeks and become job-ready +91 8600998107 / 7028710777 www.technogeekscs.com #SQLTips #LearnSQL #SQLDeveloper #DataAnalytics #TechCareer

📊 𝐔𝐧𝐝𝐞𝐫𝐬𝐭𝐚𝐧𝐝𝐢𝐧𝐠 𝐒𝐐𝐋 𝐂𝐨𝐦𝐦𝐚𝐧𝐝𝐬: As part of my Data Analysis journey, I explored how SQL commands are structured into different functional categories. Here’s a quick breakdown 👇 🔹 DDL (Data Definition Language) Used to define and manage database structure 👉 Commands: CREATE, ALTER, DROP, TRUNCATE 🔹 DML (Data Manipulation Language) Used to modify data inside tables 👉 Commands: INSERT, UPDATE, DELETE 🔹 DQL (Data Query Language) Used to retrieve data from the database 👉 Command: SELECT 🔹 DCL & TCL (Data Control & Transaction Language) Used for permissions and transaction management 👉 Commands: GRANT, REVOKE, COMMIT, ROLLBACK, SAVEPOINT 💡 Key Insight: SQL is not just about writing queries — it's about understanding how data is structured, managed, and controlled efficiently. I’m continuously improving my SQL skills by practicing real-world datasets and solving business problems. Let’s connect and grow together! 🚀 #SQL #DataAnalysis #Database #LearningJourney #DataScience #TechSkills #CareerGrowth

🚀 SQL Series – Part 10: Operators & Clauses Deep Dive “Anyone can write SQL queries… but the real skill is knowing how to structure them smartly, so they’re readable, efficient, and scalable.” 🔹 CTE – Simplifies complex queries using reusable temporary result sets (GeeksforGeeks) 🔹 Recursive CTE – Handles hierarchical data using self-referencing logic (Microsoft Learn) 🔹 Set Operators – Combine results (UNION, INTERSECT, EXCEPT) efficiently 🔹 Operators vs Clauses – Operators act on data, clauses control query flow 🔹 WHERE vs HAVING – Row-level filtering vs aggregated filtering Level up your SQL game ⚡ #SQL #DataAnalytics #DataAnalyst #LearnSQL #SQLTips #Database #Analytics #TechSkills #Coding #DataScience