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Microsoft

Ingest data with Microsoft Fabric

Microsoft via Microsoft Learn

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Overview

  • Module 1: Data ingestion is crucial in analytics. Microsoft Fabric's Data Factory offers Dataflows (Gen2) for visually creating multi-step data ingestion and transformation using Power Query Online.

    In this module, you'll learn how to:

    • Describe Dataflow (Gen2) capabilities in Microsoft Fabric
    • Create Dataflow (Gen2) solutions to ingest and transform data
    • Include a Dataflow (Gen2) in a pipeline
  • Module 2: Discover how to use Apache Spark and Python for data ingestion into a Microsoft Fabric lakehouse. Fabric notebooks provide a scalable and systematic solution.

    By the end of this module, you’ll be able to:

    • Ingest external data to Fabric lakehouses using Spark
    • Configure external source authentication and optimization
    • Load data into lakehouse as files or as Delta tables
  • Module 3: Use Data Factory pipelines in Microsoft Fabric

    In this module, you'll learn how to:

    • Describe pipeline capabilities in Microsoft Fabric
    • Use the Copy Data activity in a pipeline
    • Create pipelines based on predefined templates
    • Run and monitor pipelines

Syllabus

  • Module 1: Module 1: Ingest Data with Dataflows Gen2 in Microsoft Fabric
    • Introduction
    • Understand Dataflows (Gen2) in Microsoft Fabric
    • Explore Dataflows (Gen2) in Microsoft Fabric
    • Integrate Dataflows (Gen2) and Pipelines in Microsoft Fabric
    • Exercise - Create and use a Dataflow (Gen2) in Microsoft Fabric
    • Knowledge check
    • Summary
  • Module 2: Module 2: Ingest data with Spark and Microsoft Fabric notebooks
    • Introduction
    • Connect to data with Spark
    • Write data into a lakehouse
    • Consider uses for ingested data
    • Exercise - Ingest data with Spark and Microsoft Fabric notebooks
    • Knowledge check
    • Summary
  • Module 3: Module 3: Use Data Factory pipelines in Microsoft Fabric
    • Introduction
    • Understand pipelines
    • Use the Copy Data activity
    • Use pipeline templates
    • Run and monitor pipelines
    • Exercise - Ingest data with a pipeline
    • Knowledge check
    • Summary

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