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Implementation of PySpark Merge in Fabric

Learn how to implement PySpark merge statements in Microsoft Fabric with Manuel Quintana. This hands-on session walks you through writing, testing, and executing code directly in a Lakehouse environment.

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  • Course Info
  • Instructor
  • What to know beforehand
  • System Requirements

Course Description

Dive into the power of PySpark in Microsoft Fabric with Implementation of PySpark Merge in Fabric, led by Manuel Quintana. This course introduces you to the concept of using PySpark to merge data in Lakehouses, helping you understand how Fabric handles large-scale data processing with flexibility and performance in mind. Manuel walks you through a hands-on example of writing a PySpark merge statement in Fabric, showing you where to write, how to test, and how to run the code directly in the platform. Whether you're new to PySpark or exploring how Fabric supports advanced data workflows, this session provides a practical, focused introduction to a powerful technique.

Course Outline ( Free Preview)

Module 00 - What You Need to Get Started

Module 01 - Introduction

Module 02 - Why Use PySpark Merge

Module 03 - Inserting Records with PySpark Merge 33 min.

Module 04 - Updating Records with PySpark Merge 11 min.

Module 05 - Deleting Records with PySpark Merge 10 min.

Module 06 - Optional Conditions 17 min.

Module 07 - Using Parameters 14 min.

This course includes:

  • 1+ hours of training
  • 8 Modules
  • Intermediate level content
  • Access on mobile and browser
  • Certificate of Completion
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