SQL Refresher: DDL DML Joins Window Functions

One of the biggest shifts in SQL learning is moving from simple queries to working with multiple tables. Recently focused on JOINs to connect datasets and understand relationships between them, along with UNION to merge query outputs efficiently. This is where SQL starts becoming powerful — not just fetching data, but structuring it in a way that answers real business questions. Continuing to build stronger query logic and analytical thinking step by step. #SQL #DataAnalytics #Learning #DataAnalyst

Messy spreadsheets. Repeated data. Confusing dependencies 😵 I created a beginner-friendly, step-by-step tutorial that shows how to take data from UNF to 3NF. This short tutorial covers: • Clear tables for every stage • SQL queries to examine normalized data (and recreate the original messy view) • ERD diagram (Entity Relationship Diagram) to visualize how tables relate to each other • A glossary for key terms Access the tutorial and more here: https://lnkd.in/gg5tQ_vz #Database #SQL #DataScience #Learning #Tutorial #ERD #Normalization

🚀 Day 13/30 – Subqueries in SQL Ever felt your SQL queries are getting messy? 🤯 👉 That’s where subqueries come in. 💡 Think of it like this: Solve a small problem first → use that result to solve the bigger one. 🔥 What I learned today: ✔ Subquery runs inside the main query ✔ Helps in dynamic filtering ✔ Makes complex logic simple & clean 🧠 3 Types you must know: 🔹 Scalar → single value 🔹 Nested → multiple values 🔹 Correlated → runs for each row ⚡ Real insight: If you understand subqueries well, you’ll write SQL like a pro analyst 💻 📌 Consistency > Perfection Day by day, getting better 🚀 #SQL #DataAnalytics #LearnSQL #LinkedInLearning

🚀 Week 6 Update – Deep Dive into SQL 💻📊 Leveling up my SQL skills with a focus on real-world data handling and performance optimization 🚀 🔗 Joins: Mastered INNER, LEFT, RIGHT, FULL & CROSS joins to combine data and extract insights 🎯 ROWNUM: Worked on Top-N queries, pagination & efficient data limiting 🧹 Null Handling: Used NVL() & NVL2() to manage missing data effectively 📂 SQL*Loader: Learned bulk data loading from CSV/TXT files for better performance ⚡ ⚡ Materialized Views: Improved query performance by storing precomputed results 💡 Moving from basic queries → performance-driven SQL solutions 🙏 Grateful to my mentor Praveen Kalimuthu and Tech Data Community for continuous support 🤝 #SQL #OracleSQL #DataAnalytics #PowerBI #LearningJourney #CareerGrowth #DataAnalyst #TechSkills

✅ Solved a SQL problem on StrataScratch — Day 59 of my SQL Journey 💪 Text data looks simple…   until you try to break it into meaningful pieces 👀  Today’s challenge: count how many times each word appears across all rows.  The approach:  • Cleaned and normalised text using LOWER() and REPLACE()   • Used a recursive CTE to split sentences into individual words   • Extracted words step by step using SUBSTRING_INDEX()   • Counted occurrences using GROUP BY  What I practised:  • Recursive CTEs   • String splitting in SQL   • Text normalisation   • Aggregation on derived data  What stood out —  Real-world data isn’t structured.   You often have to create structure first.  Once you break data into the right form,   analysis becomes much easier.  SQL isn’t just about querying tables —   It’s about shaping data into something usable.  Consistent learning, one query at a time 🚀  #SQL #StrataScratch #DataAnalytics #LearningInPublic #SQLPractice

Day by day, I’m building a stronger foundation in SQL. Today’s session was packed with powerful concepts: - Alerts - CTE (Common Table Expressions) - Views - Subqueries - Scalar functions Each topic is helping me think more efficiently when working with data and writing optimized queries. Still learning, still improving. #SQL #DataLearning #Analytics #LearningJourney

SQL Tip of the Day: CASE WHEN THEN Turn raw data into meaningful insights using conditional logic! 💡 Think of it like IF-ELSE in SQL #SQL #DataAnalytics #Learning #InterviewPrep #DataScience #NewtonSchool

Struggling with slow SQL queries? Yeah… we’ve all been there. Here’s the cheat sheet I wish I had earlier — simple tweaks, big performance gains. Stop using "SELECT *" like it’s your birthright. Start thinking like a real data professional. ✔ Faster queries ✔ Cleaner logic ✔ Better performance Good SQL isn’t just about getting results… it’s about getting them FAST. Save this. You’ll need it. 🚀 #SQL #DataAnalytics #LearnSQL #TechSkills #Database #CodingTips #DataScience

Day 18 of my SQL learning journey has been insightful as I explored the CASE Statement. I applied IF-THEN logic in SQL, categorized data using conditions, and created dynamic columns. A key takeaway from today is the importance of transforming data using logic, not just queries. SQL continues to grow in power every day. #SQL #LearningJourney #Day18 #DataAnalytics #TechSkills

Your SQL query can be 100% correct… and still give the wrong answer. Here are 5 common SQL pitfalls I’ve seen (and fixed) in real projects 👇 🚀 What’s a SQL mistake that taught you a big lesson? #SQL #DataEngineering #Analytics #Learning #TechCareers