PySpark Tutorial 2026 #3 | Create Your First Real DataFrame in PySpark (Event Dataset) скачать в хорошем качестве

PySpark Tutorial 2026 #3 | Create Your First Real DataFrame in PySpark (Event Dataset)

Welcome to the PySpark micro-course 🚀 In this video, we create our first real PySpark DataFrame using an example dataset of user events. This is how data often looks in real applications such as mobile games, e-commerce platforms, or analytics systems. In this video you will learn: • How to create a dataset in PySpark • How to build a Spark DataFrame • How to view data using show() • How to inspect the schema using printSchema() • What a DataFrame actually represents in Spark We continue working in Databricks, which is widely used in real Data Engineering teams. 📌 Homework: Add 3 more users to the dataset. Add a new event type (for example: "start_game"). Run df.count() again. Write in the comments: • What new event did you add? • How many rows are now in your dataset? In the next lesson, we will start transforming data using select() and filter(). For more video please subscribe to the channel:    / @magic_python