This session is designed for Data Engineers who are new to Spark Notebooks and are looking to build a strong foundation. We will delve into best practices for using Python within Spark Notebooks, focusing on writing efficient and maintainable code. Learn how to work with DataFrames and Delta Tables, covering their creation, manipulation, and optimization techniques to handle large-scale data processing tasks effectively.

Additionally, you will learn about specific features within Microsoft Fabric that can enhance your workflow. We’ll explore the Lakehouse architecture for unified data storage and analytics, the seamless integration with VSCode for a more robust development environment, and the use of Data Wrangler for simplified data preparation and transformation tasks. This session aims to equip you with the practical skills and knowledge to leverage Spark Notebooks and Microsoft Fabric’s capabilities to their fullest potential.