🚨 SQL Challenge — Real-World Use Case

You’re given a log table with 3 columns:
📅 record_date,
🏦 account_id,
👤 user_id

Task:
🔍 For each account, identify users who came back after 7+ days of inactivity.

Sounds simple, right?
But to solve this, you’ll need to:

* Use LAG() to compare login dates
* Calculate gaps between logins per user
* Filter only those who returned after 7+ days
* Do all of this per account, not globally

This is exactly the kind of logic you’ll face in interviews and real projects.

Here’s the SQL solution 👇

🧠 SQL Solution:


WITH user_logins AS (
SELECT
account_id,
user_id,
record_date,
LAG(record_date) OVER (
PARTITION BY account_id, user_id
ORDER BY record_date
) AS prev_login
FROM user_activity_log
),
login_gaps AS (
SELECT *,
DATEDIFF(day, prev_login, record_date) AS gap_days
FROM user_logins
)
SELECT DISTINCT
account_id,
user_id
FROM login_gaps
WHERE gap_days >= 7;

📩 For more such real-world SQL questions?
Join the LinkedIn posts and weekly YouTube drops:
🔗 https://www.youtube.com/playlist?list=PLU1HobJd_JCqjcZwUCc6s8avJutoIjyIF

📌 Stay tuned here for more!

#SQL #DataEngineering #InterviewPrep #SQLInterview

🚨 Netflix SQL Interview Question Alert!

They asked this in an actual interview:
🎬 "Find the genre of the person with the most Oscar wins… and join using names, not IDs."

Sounds simple? It’s not.
Real-world SQL. Real logic. Real fun. 😄

I just posted a breakdown on LinkedIn — check it out and drop a “Netflix 🔥” to get the full solution!

📎 https://www.linkedin.com/posts/adityabansal095_sql-dataanalytics-sqlinterview-activity-7343592162338422785-OsV9?utm_source=share&utm_medium=member_desktop&rcm=ACoAAB8c2Z8Bcu4nHPJW24bZAavnMChCO7Q0wCQ

#SQL #Netflix #SQLJunction #DataEngineering #InterviewPrep

🚨 New Video Just Dropped!

📺 Just uploaded a fresh YouTube video where I break down a Hard Google SQL interview question:

🎬 Compare the rating of an actor’s most recent film with the average of all their previous films.

If you’re preparing for SQL interviews or just want to level up your logic — this is a must-watch!

📌 Watch here: https://youtu.be/gZ7ZKtKvL7s
🔥 Don’t forget to like, comment, and share if it helps!

Please help me in reaching 500 subscribers, Guys!!

#SQLJunction #SQLInterview #Google #DataEngineering #InterviewPrep #DataJobs

🚨 SQL Interview Prep Kit 🚨


1️⃣ Aggregations
2️⃣ Window Functions
3️⃣ Set Operators
4️⃣ Indexing for Performance
5️⃣ SQL for Analytics

🎯 Perfect for quick revision before interviews or weekend practice!


#SQL #InterviewPrep #DataEngineering #SQLJunction

🚫 Most developers write SQL like this...
✅ But great developers write it like this.

Just shared a visual breakdown of common SQL mistakes — and how to fix them like a pro! ⚡

Perfect for anyone preparing for interviews or writing SQL daily.

📌 Upgrade your query game in 60 seconds.

#SQL #InterviewPrep #SQLTips #SQLJunction #SQLInterview

🚀 SQL Interview Trick You Must Know!
Just dropped a brand new video 🎥

👉 Problem: Forward fill NULL values with the last non-null value in a SQL table.
🧠 Covered: A smart use of FIRST_VALUE() and logic building that actually makes sense!

If you're preparing for SQL/Data Engineering interviews, this is the kind of trick that separates good from great 👏
Don’t miss this one!

📺 Watch now: https://youtu.be/sBcMQfyb4eU?si=xPgvTcMOdSvAudSx

#SQL #InterviewPrep #DataEngineering #SQLTricks

🧠 This complex SQL question from Google looked simple… until I actually started solving it.
Let’s just say — a plain JOIN wasn’t enough. 😉

I used a mix of aggregates + window functions to crack it — and the approach might surprise you.

🎥 https://youtu.be/Qvudg-uYwk0?si=IQnB_HofAvXg21oy

#SQL #InterviewPrep #SQLInterview #DataEngineering

🚀 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

🎯 New SQL Interview Question on YouTube!

A real Deloitte Interview Question that tests: • Window functions • Logical thinking under pressure • Your ability to connect dates correctly 📅⚙️

DELOITTE HARD SQL Interview Question in Hindi | Find Start and End Dates for Consecutive rows
https://youtu.be/ZPcV0OmSaIo

Most candidates struggle here… Can YOU solve it? 🤔
Watch now 👇
🔥
#SQL #InterviewPrep #DataEngineering #LearnSQL #SQLServer #Programming #SQLPractice #TechInterview #YouTubeChannel #SQLCommunity #SQLJunction #AdityaBansal

🚀 SQL SET Operators: The Quick Guide 🚀
Stop trying to solve everything with JOINs! If you need to combine data vertically, these are your best friends:
🔹 UNION Combines results and removes duplicates. Perfect for a clean, unique list. 🧹
🔹 UNION ALL Combines everything, including duplicates. It's much faster because the DB doesn't have to scan for duplicates! ⚡️
🔹 INTERSECT Finds the common ground. Only returns rows that exist in both datasets. 🤝
🔹 EXCEPT / MINUS The "difference" finder. Shows what's in your first query but NOT in the second. 🚫

💡 Pro-Tip for Interviews: Always remember: For SET operators to work, your queries must have the same number of columns and matching data types!

https://www.linkedin.com/posts/adityabansal095_i-used-to-think-sql-joins-were-the-only-way-share-7414127739210797057-plAi


#SQL #DataScience #Database #CodingTips #DataAnalytics #InterviewPrep #TechSkills #SQLServer

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

Top Data Analyst Projects That Impress Recruiters 📈💼

1. Sales Data Analysis
→ Analyze monthly/quarterly sales trends
→ Segment by product, region, and sales reps
→ Tools: Excel, SQL, Power BI/Tableau

2. Customer Retention Dashboard
→ Churn analysis and retention KPIs
→ Use cohort analysis, funnel visualization
→ Tools: Python, Tableau

3. E-commerce Data Exploration
→ Study user behavior, conversion rate
→ Analyze cart abandonment, top-selling products
→ Tools: SQL, Python (Pandas, Matplotlib)

4. HR Data Insights
→ Track hiring trends, attrition, diversity metrics
→ Build dashboards showing tenure, department stats
→ Tools: Excel, Power BI

5. Financial Data Modeling
→ Actual vs. forecasted revenue/costs
→ Include profitability ratios and variance analysis
→ Tools: Excel, Power BI, SQL

6. Web Traffic Analysis
→ Analyze Google Analytics or log data
→ Focus on user paths, bounce rates, session duration
→ Tools: Python, SQL

7. Survey Data Insights
→ Clean raw survey data, visualize trends
→ Sentiment analysis on feedback (optional NLP)
→ Tools: Excel, Python, Tableau

Tips:
• Explain the business impact of your insights
• Show your workflow: data cleaning → analysis → visualization
• Host projects on GitHub or portfolio site

Stay Tuned❤️👍

#Dataanalyst #SQL #InterviewPrep