SQL Interview: Analyze Trips & Users Like Uber Does! (FAANG Challenge)

🚗 Trips and Users – SQL Interview Challenge Breakdown
In this tutorial, we walk through a real-world SQL interview problem involving trip and user activity data — very similar to what you'd see at companies like Uber, DoorDash, Lyft, Amazon, and Facebook.

You’ll be asked to analyze which users took trips, who didn’t, and how to calculate relevant ratios — a common pattern in Data Engineering interviews involving JOINs, filtering logic, and aggregations.

✅ What You’ll Learn:

How to join user and trip tables correctly

Using LEFT JOIN, IS NULL, and conditional logic to segment data

Calculating usage ratios and activity percentages

Real interview tips to make your SQL answer stand out

🎯 Great For:

Data Engineers

Analysts

SQL Prep for FAANG & startups

Anyone learning relational joins with business context

🧠 Difficulty: Medium
🧰 SQL Flavor: MySQL / PostgreSQL / BigQuery compatible

🚀 This kind of behavioral analytics SQL is a must-know for roles in ride-sharing, e-commerce, and SaaS companies. Understanding how to combine users and event data gives you a big edge in real interviews.

🔔 Subscribe, 👍 like the video, and 💬 comment your solution to stay ahead in your Data Interview Prep Journey!

#SQLInterview #TripsAndUsers #UberSQL #DataEngineering #FAANGPrep #BigTechSQL #SQLChallenge #CrackTheInterview #sqlfordataengineers

0:00 Problem Explanation
1:39 Solution Intro
2:18