Window Functions in PostgreSQL || Queries in PostgreSQL || Best PostgreS...

Welcome to another power-packed tutorial in our PostgreSQL series! 🚀 In Video #36, we dive deep into the world of Window Functions in PostgreSQL — an essential tool for writing analytical queries without losing row-level detail.

💡 Unlike regular aggregate functions, window functions let you calculate SUM, AVG, RANK, ROW_NUMBER, and moving averages over partitions of data while keeping every row visible. This opens up possibilities for advanced reporting, analytics, and insights directly within your SQL.

📊 We walk through real-world use cases with a sales table, showing step-by-step how to:

• Calculate running totals and moving averages

• Assign rankings and row numbers

• Use LEAD and LAG for accessing prior/next rows

• Work with PARTITION BY, ORDER BY, ROWS BETWEEN, and RANGE BETWEEN

• Optimize performance with shared window specs and indexing tips

We even explore NTILE bucketing, filtered aggregations, and how to use GROUP BY alongside window functions.

Whether you're preparing for interviews, working on a data project, or just want to level up your SQL skills — this tutorial is packed with everything you need!

👉 Don’t forget to subscribe, like, and share if you find this helpful. Drop your questions in the comments, and stay tuned for the next video on Select Lists in PostgreSQL.

Happy Querying! 🧠💻