(14) Write Data in Microsoft Fabric with PySpark | Managed vs External Tables || DP-700 Exam
#MicrosoftFabric #PySpark #DataEngineering #Lakehouse #DeltaTable #BigData #ManagedTables #ExternalTables #FabricTutorial #AzureData
In this Microsoft Fabric tutorial, we explore how to write data using PySpark in Fabric Notebooks.
You’ll learn:
✅ 4 Write Modes: overwrite, append, ignore, error
✅ Writing to files (CSV & Delta) in a Lakehouse
✅ Writing to managed tables and external tables
✅ Writing data to another Lakehouse in a different workspace
✅ Key differences between managed and external tables in Fabric
We cover practical examples of saving DataFrames as CSV, Delta, and tables, including cross-workspace data writing techniques. Perfect for anyone working with PySpark in Microsoft Fabric for big data processing.
DP-700 Microsoft Fabric Data Engineer → “Essential concepts every DP-700 Microsoft Fabric Data Engineer needs to master.”
Chapters:
00:00 Intro