😲 99% of SQL learners struggle with this problem!
You get a Club table where each member earns rewards like:
MM, CI, CO (0.5 pts each) CD, CL, CM (1 pt each)

💥 Challenge: Calculate the total points scored by each club using SQL. Sounds simple? Wait till you try it. 😏
Most people miss the key logic 👀
Can you crack it before watching the solution?
🎥 Full breakdown + solution:
👉 SQL Challenge: Calculate Total Club Points | SQL Interview Question Explained
https://youtu.be/V-mMZ4hhhQE

#SQL #SQLChallenge #DataEngineering #SQLInterview #LearnSQL

🚀 New SQL Hard Challenge is LIVE!

Today’s problem looks simple… until you try it 😅
You’re given a table of products and categories — and your task is to swap records inside each category using SQL window functions.

Most people get stuck on the logic 👀
Can YOU figure out the right approach before watching the solution?

🎥 Watch the full video here:
👉 DELOITTE HARD SQL Interview Question in Hindi | Swap records Inversely

https://youtu.be/jOrTXXleDcg

If you’re preparing for SQL interviews or just love brain-teasing SQL problems, this challenge is for you 🔥

#SQL #SQLChallenge #DataEngineering #SQLInterview #PracticeSQL

🚀 Just shared a super useful post for anyone preparing for Data Analyst roles — especially Deloitte!

I broke down a fresh interview experience covering: • SQL scenario-based questions • Power BI practical problems • Behavioral questions you
should be ready for

If you're aiming for Deloitte or any top-tier data role, this will give you a clear idea of what to expect 👇

https://www.linkedin.com/posts/adityabansal095_deloitte-deloitteinterview-big4interviews-activity-7399760164922388480-DjaP?utm_source=share&utm_medium=member_ios&rcm=ACoAAB8c2Z8Bcu4nHPJW24bZAavnMChCO7Q0wCQ

#SQL #DataAnalyst #PowerBI #InterviewPrep

FAANG SQL Challenge: Can you solve "The Delimiter Trap"? 🧩

I just dropped a new breakdown of a classic interview problem that trips up even Senior Data Engineers.

The Task: Extract and calculate reward points from a single "messy" column (e.g., `'MM:CI:CD'`).

Why you should watch:
✅ Learn the cleanest way to use STRING_SPLIT.
✅ Master Conditional Aggregation (no more spaghetti code!).
✅ Avoid the #1 over-engineering mistake candidates make in FAANG interviews.

Stop struggling with messy data—master the logic in 5 minutes.

Watch the full solution here:
👇👇👇
https://youtu.be/Pg5F8_ViXE8

Which one is faster for this—`STRING_SPLIT` or CROSS APPLY? Let me know in the YouTube comments! 🚀

#SQL #InterviewPrep #DataEngineering #SQLJunction #SQLInterview

🚀 It’s LIVE! The SQL Marathon is finally out 🔥

I’ve published a 3-hour SQL + Data Analytics video where I solve 50 real SQL questions using one YouTube Analytics dataset — step by step.

If you’re preparing for:
• SQL interviews
• Data Engineering / Analytics roles
• Real-world SQL problem solving

This video will seriously level you up 💪

👉 Watch here: https://youtu.be/BmhKUI-PGrc

Let me know in the comments — how many questions could you solve on your own? 😄
— SQL Junction 📊

#DataAnalyst #SQLPractice #SQL #YouTube #SQLInterview #DataAnalytics

🧠 Amazon SQL Interview Challenge
This is an interesting challenge ,please take a look

Ever tried applying Pythagoras theorem in SQL? 😄

You’re given triangle sides stored row-wise and your task is to identify which CombinationID forms a right-angled triangle.

📐 Rule to apply:
H² = P² + B² (longest side matters!)



If this showed up in an interview, how would you approach it?

https://www.linkedin.com/posts/adityabansal095_sql-amazon-amazoninterview-activity-7422150064292282368-fT9O

#SQL #SQLInterview #AmazonInterview #DataEngineering #Analytics #SQLChallenge

🎯 Data Engineering Interview in 30 Days? Here’s the Game Plan.

If I had an interview next month, this is exactly how I’d prepare 👇

🧠 Strengthen the Basics
• Revise core SQL concepts
• Solve 20–30 recent SQL questions
• Practice 20–30 Python coding problems

⚡ Spark & Big Data
• Understand PySpark fundamentals
• RDDs vs DataFrames vs Datasets
• Practice top PySpark programs

🏗 Data Engineering Foundations
• Revise Data Warehousing concepts
• Understand your project’s data model
• Review cloud services used

💻 Practical Knowledge
• Essential Linux commands
• Be ready to explain your project clearly
• Know your roles & responsibilities
• Understand implementation details

📚 Interview Readiness
• Common DE interview questions
• Read interview experiences of the target company

💡 30 days is more than enough — if you prepare with focus.

Start today. Small daily effort > last week panic 🚀

#dataengineer #jobopportunity #learning #interview #SQLInterview

🚨 Quick SQL Reality Check

Most developers think:

COUNT(*) = COUNT(Column)

But that’s not always true 👀

A single NULL value can completely change the result.

I recorded a quick 30-second Short explaining the difference with a simple example.

🎥 Watch here:
👉 [Paste YouTube Shorts Link]

Trust me, this is one concept worth remembering for SQL interviews and real-world projects.

Or, if you want something more aggressive:

⚠️ SQL Interview Trap

What will these return?

COUNT(*)

COUNT(Salary)

Same answer? 🤔

Most people get this wrong because of NULL values.

I explained it in a quick YouTube Short👇

🎥 Watch Now:
👉
https://youtube.com/shorts/1rHHZmMHx6E?feature=share

Did you know the answer before watching? 😏

🚨 New SQL Shorts Alert! 🚨

Can you solve this Deloitte SQL Interview Question? 👀

🎯 Find all employees who earn more than their manager.

Sounds simple… until you actually try writing the query 😏

I’ve explained the complete logic in a quick 30-second YouTube Short.

🎥 Watch now:
👉 Deloitte SQL Interview Question 🤯 | Employees Earning More Than Their Manager#sqlinterview#deloitte
https://youtube.com/shorts/D98qCDNnSdw?feature=share

Drop a 🔥 if you got the answer right before watching!

🔥 New YouTube Video Alert

Can You Solve This Deloitte SQL Interview Question?

You’re given a products table where the category is available only for the first product, while the following rows contain NULL.

Beverages → Coca Cola
NULL → Pepsi
NULL → Sprite
NULL → Fanta

Snacks → Lays
NULL → Doritos
NULL → Kurkure

🎯 Challenge:
How would you fill those NULL category values with the correct category?

💡 Hint: Think about Window Functions 👀

This is a great SQL problem to test your understanding of NULL handling + data transformation.

👇 What would you use?

🅰️ LAG()
🅱️ LEAD()
🅲️ LAST_VALUE()
🅳️ ROW_NUMBER()

🎬 Solution video
Fill Missing Categories in SQL | Hard Deloitte Interview Question
https://youtu.be/IX9NBK3Yx-M
🚀

Check it out now and let me know in comments ,What did you learn?

#SQL #SQLInterview #Deloitte #SQLChallenge #DataEngineering #Snowflake