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Find Median from Frequency – SQL Interview Challenge from FAANG!

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📊 SQL Interview Problem: Find Median from Frequency Table
In this advanced SQL/Data Engineering challenge, you're asked to find the median value when you're given a frequency table — a real-world scenario in analytics and streaming data pipelines.
It’s a highly rated problem for interviews at Meta, Google, Amazon, and Stripe, where you're tested on your understanding of cumulative distributions, data expansion, and advanced aggregation techniques.
✅ In this tutorial, you’ll learn:
How to expand frequencies using SQL logic
Applying WITH, ROW_NUMBER(), SUM(), and window functions
How to simulate data expansion and calculate the median efficiently
Thinking like an interviewer to break down tricky queries
🎯 Best For:
Data Engineers
SQL-heavy Analysts
Data Scientists prepping for FAANG
Anyone facing complex SQL interviews
🧠 Difficulty: Advanced
🧰 SQL Flavor: PostgreSQL / MySQL compatible
💥 Tip: This kind of question showcases not just SQL skills but your ability to model complex logic using limited tools — a must for Big Tech interviews.
💬 Comment your approach below and compare!
🔔 Subscribe for more real-world SQL prep from Big Tech insiders.
#SQLInterview #MedianSQL #FrequencyTableSQL #FAANGPrep #DataEngineering #AdvancedSQL #BigTechInterview #SQLChallenge #sqltutorial
0:00 Problem Explanation
3:46 Solution Intro
4:51 Code
In this advanced SQL/Data Engineering challenge, you're asked to find the median value when you're given a frequency table — a real-world scenario in analytics and streaming data pipelines.
It’s a highly rated problem for interviews at Meta, Google, Amazon, and Stripe, where you're tested on your understanding of cumulative distributions, data expansion, and advanced aggregation techniques.
✅ In this tutorial, you’ll learn:
How to expand frequencies using SQL logic
Applying WITH, ROW_NUMBER(), SUM(), and window functions
How to simulate data expansion and calculate the median efficiently
Thinking like an interviewer to break down tricky queries
🎯 Best For:
Data Engineers
SQL-heavy Analysts
Data Scientists prepping for FAANG
Anyone facing complex SQL interviews
🧠 Difficulty: Advanced
🧰 SQL Flavor: PostgreSQL / MySQL compatible
💥 Tip: This kind of question showcases not just SQL skills but your ability to model complex logic using limited tools — a must for Big Tech interviews.
💬 Comment your approach below and compare!
🔔 Subscribe for more real-world SQL prep from Big Tech insiders.
#SQLInterview #MedianSQL #FrequencyTableSQL #FAANGPrep #DataEngineering #AdvancedSQL #BigTechInterview #SQLChallenge #sqltutorial
0:00 Problem Explanation
3:46 Solution Intro
4:51 Code