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  • Home
  • Lakehouse
    • Lakehouse Introduction
    • Tutorial: How to use Python in Fabric for Data Engineers
    • Python Introduction Microsoft Fabric
    • Python Syntax
      • String Expressions
      • Number Expressions
      • DataTime Expressions
      • Logical Expressions
      • List Expressions
      • Loops
      • Dictionary Expressions
      • JSON Expressions
    • Modular programming
      • Notebooks Introduction
      • Install Public Python Packages in Fabric
      • Pass Parameters from one Notebook to another
    • Pandas
      • Pandas + NumPy Introduction
      • Dataframe Basics
      • Import Local CSV File
      • Import ADLSGen2 CSV File
      • Import OneLake CSV File
      • Import Excel File from OneLake / SharePoint
    • PySpark
      • Spark Introduction
      • DataFrame Basics
      • Import CSV and Parquet Files into DataFrame
    • Call REST API’s
      • Call ODATA REST API
      • Get Secret from Azure Key Vault
  • Dataflows
    • Dataflows Introduction
    • “M” Language Introduction
    • M Syntax
      • Text Expressions
      • Number Expressions
      • DateTime Expressions
      • Logical Expressions
    • REST API’s
      • Calling Web API’s Introduction
      • Call Web APIs like a pro in Power Query
  • Semantic Model
    • Advanced Dimensional Modelling
  • About

August 13, 2024

Dataflows overview, Gen 1 vs Gen 2 vs Power Query

Dataflows, LakehouseBy Arthur GrausAugust 13, 2024Leave a comment

Dataflows are ETL pipelines running in the Power BI Service or in a Fabric Workspace. What is the difference between Gen 1 and Gen 2 and how are they related to the normale Power Query engine inside Power BI Reports. Which new use cases wil the Gen 2 Dataflows give you in combination with a…

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