SQL Chapter 16: Analyzing Movie Streaming Data for AI Engineers

Today we’re diving into the world of online movie streaming platforms like Netflix, Prime, or Disney+ to learn how data analysis can help them make key decisions. Every click, watch, and pause generates valuable data that can shape the way these platforms operate. SQL is the go-to tool for answering burning questions like which movies are the most popular, which genres are trending, and which users are inactive.

In this chapter, we’ll be working with a simple dataset that includes information on movies, users, and watch history. By running queries on this data, we’ll get a taste of what real streaming analytics looks like.

Let’s start by taking a peek at the schema of our data. We have tables for movies, users, and watch history, each with their own set of columns to store relevant information. You can easily copy and paste the code provided and run it in your favorite online SQL compiler to follow along with the examples.

Stay tuned as we dive into analyzing movie streaming data and uncover insights that can help shape the future of the entertainment industry. Happy querying!