ADVANCED SQL Interview Question | Solving Peak Viewer Problem | Senior Data Analyst Question

In this video, we tackle a classic "Senior Level" interview question used by companies like YouTube, Netflix, and Amazon: The Peak Concurrent Viewers Problem. 📊 What You’ll Learn: Why Self-Joins are the wrong choice for overlapping time intervals. How to "Unpivot" data using UNION ALL to create an event log. Mastering the SUM() OVER() Window Function for running totals. How to handle "Tie-Breakers" when events happen at the exact same second. 💻 The SQL Code: https://github.com/vishnu-t-r/sql_solved_questions/blob/main/216_Peak%20Concurrent%20Viewers.sql 🔗 Resources & Community: 📝 SQL Interview Question Repository:https://github.com/vishnu-t-r/sql_solved_questions 💼 LinkedIn: https://linkedin.com/in/trvishnu ▶️ Subscribe: https://www.youtube.com/@dataprojecthub ✍️ Medium: https://vishnutr.medium.com/ 👩🏻‍💻 GitHub: https://github.com/vishnu-t-r #advancedsqlinterviewquestions #sqlinterviewquestions #dataanalystinterview sql interview questions, data analyst interview questions, data engineer interview questions, data scientist interview questions, sql interview preparation, sql questions and answers, advanced sql interview questions, sql for data analysts, sql for data engineers, sql for data science, real world sql questions, tricky sql interview questions, sql practice questions, sql coding interview, data analytics interview questions, analytics interview prep, data engineering interview prep, data science interview prep, sql joins interview questions, window functions sql interview, sql case when interview questions, sql aggregation questions, group by sql interview, sql query practice, learn sql fast, sql tutorial for beginners, sql for beginners, sql problems with solutions, database interview questions, mysql interview questions, postgresql interview questions, top sql interview questions, faang data analyst interview, faang data engineer interview, business analyst sql questions, sql scenarios interview, hands on sql practice, sql mock interview, data analyst sql project, data engineer sql project