SQL Learning: Handling NULL Values and Conditions

I used to memorize SQL JOINs… and still get them wrong. Until I realized something important: SQL joins are not syntax problems, they are relationship problems. INNER JOIN, LEFT JOIN, RIGHT JOIN all describe how two tables interact: INNER JOIN (JOIN)→ only what overlaps LEFT JOIN → everything on the left + matches RIGHT JOIN → everything on the right + matches Once I mapped it using Customers vs Orders and a simple Venn diagram, it finally clicked. Now SQL feels less like code… and more like logic. And in real-world data systems, that mindset matters more than memorization. #SQL #SQLJoins #DataAnalytics #DataEngineering #Database #LearningSQL #DataScience #BusinessIntelligence #Analytics #TechEducation #Programming #BackendDevelopment #RelationalDatabase #DataSkills #TechCareer

💻 Practice makes perfect in SQL! The more queries you write, the better you understand data. 🎯 Tips: ✔️ Practice daily ✔️ Solve real-world problems ✔️ Work on datasets ✔️ Learn from mistakes Consistency is the key to mastering SQL! 🔑 #SQL #Practice #Learning #Coding

📓 𝗗𝗮𝘆 𝟭 — 𝗦𝗤𝗟 𝗕𝗮𝘀𝗶𝗰𝘀 Starting my Data Analytics journey with SQL 💻📊 Today I learned: 🔹 What is SQL (Structured Query Language) 🔹 What is a Database 🔹 Tables (Rows & Columns) 🔹 Types of SQL Commands (DDL, DML, TCL, DCL) 🔹 SELECT statement to fetch data 💡 Key Learning: SQL helps us communicate with data and extract meaningful insights. Consistency is the key 🚀 #SQL #DataAnalytics #LearningJourney #CareerSwitch #100DaysOfCode #Consistency

🧠 SQL Cheat Sheet You’ll Actually Use SQL isn’t about syntax. It’s about how you think with data. 📌 Core Blocks: • SELECT → Get data • INSERT / UPDATE / DELETE → Manage data • CREATE / ALTER → Structure data • GRANT / REVOKE → Control access 🔗 JOINS = Real Power Combine tables → Get real insights 📊 Must Know: • COUNT, AVG, MAX • ROW_NUMBER, RANK 💡 You understand this, you can work with any database. 💬 Which part is tricky for you — JOINS or Window Functions? 👇 #SQL #DataAnalytics #LearnSQL #Programming #TechCareers

🧠 SQL Cheat Sheet You’ll Actually Use SQL isn’t about syntax. It’s about how you think with data. 📌 Core Blocks: • SELECT → Get data • INSERT / UPDATE / DELETE → Manage data • CREATE / ALTER → Structure data • GRANT / REVOKE → Control access 🔗 JOINS = Real Power Combine tables → Get real insights 📊 Must Know: • COUNT, AVG, MAX • ROW_NUMBER, RANK 💡 You understand this, you can work with any database. 💬 Which part is tricky for you — JOINS or Window Functions? 👇 #SQL #DataAnalytics #LearnSQL #Programming #TechCareers

WHERE vs HAVING in SQL Filtering data in SQL isn't always straightforward. Knowing when to use WHERE vs HAVING can save you from incorrect results. 🔹 WHERE filters rows before aggregation 🔹 HAVING filters results after aggregation 🔹 Use WHERE for raw data filtering 🔹 Use HAVING for grouped data filtering 💡 Master this difference to write cleaner and more accurate SQL queries. Save this post for your SQL learning journey. Follow JACOB JEYAKUMAR S for more updates #SQL #SQLServer #DataAnalytics #Database #DataEngineering #Programming #TechTips

🧠 SQL Command Types — The Foundation Every Data Professional Must Know If you're learning SQL, understanding command types is not optional — it’s essential. SQL is more than just writing queries. It’s about knowing what to use, when to use, and why to use it. Here’s a quick breakdown: 📌 DDL (Data Definition Language) Create, Alter, Drop, Truncate — Structure your database 📌 DML (Data Manipulation Language) Insert, Update, Delete, Merge — Work with your data 📌 DCL (Data Control Language) Grant, Revoke — Manage permissions 📌 TCL (Transaction Control Language) Commit, Rollback, Savepoint — Control transactions 📌 DQL (Data Query Language) Select — Retrieve and analyze data 💡 Mastering these basics builds a strong SQL foundation. And a strong foundation leads to better queries, better analysis, and better decisions. 🎯 Don’t just memorize commands — understand their purpose. Because in data… Clarity beats complexity. #SQL #DataAnalytics #DataScience #Database #Learning #TechSkills #BusinessIntelligence #CareerGrowth

🚀 Day 2 of My SQL Learning Journey Today I learned about the WHERE clause in SQL. 👉 WHERE is used to filter data based on specific conditions. Basic syntax: SELECT column_name FROM table_name WHERE condition; ✔ Helps in retrieving only the required data ✔ Can be used with operators like =, >, <, AND, OR 💡 Learning WHERE made me realize how powerful SQL is when working with large datasets. Excited to keep improving! 🔥 Next: INSERT statement 👀 #SQL #LearningJourney #Beginner #DataAnalytics #Day2 #LearnInPublic

Mastering SQL isn’t about writing queries… it’s about solving complex problems efficiently. From window functions to CTEs, indexing to performance tuning — Advanced SQL transforms raw data into real insights 🚀 If you’re still using just basic SELECT statements, you’re only scratching the surface. #SQL #DataAnalytics #DataEngineering #Learning #TechSkills

🚀 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