PySpark for Microsoft Fabric: Reading CSV, JSON, Parquet & Delta

Master the essentials of data ingestion in Microsoft Fabric Lakehouse. In this comprehensive tutorial, we cover everything you need to know to read and manage data effectively using PySpark and Spark SQL. Whether you are working with raw files or structured Delta tables, this guide provides a step-by-step approach to building robust data pipelines. What you will learn in this tutorial: How to read various file formats, including CSV, JSON, and Parquet files. Best practices for reading and querying Delta tables directly in your Lakehouse. How to define explicit schemas using StructType and DDL syntax to ensure data consistency. Techniques for creating Temporary Views and executing powerful Spark SQL queries within your notebooks. Advanced automation: How to dynamically load multiple files and generate DataFrame variables automatically.