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Microsoft

Implement a Lakehouse with Microsoft Fabric

Microsoft via Microsoft Learn

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Overview

  • Module 1: Discover how Microsoft Fabric can meet your enterprise's analytics needs in one platform. Discover the capabilities Fabric has to offer, understand how it works, and identify how you can use Fabric for your analytics needs.

    In this module, you'll learn how to:

    • Describe end-to-end analytics in Microsoft Fabric
  • Module 2: Get started with lakehouses in Microsoft Fabric

    In this module, you'll learn how to:

    • Describe core features and capabilities of lakehouses in Microsoft Fabric
    • Create a lakehouse
    • Ingest data into files and tables in a lakehouse
    • Query lakehouse tables with SQL
  • Module 3: Apache Spark is a core technology for large-scale data analytics. Microsoft Fabric provides support for Spark clusters, enabling you to analyze and process data at scale.

    In this module, you'll learn how to:

    • Configure Spark in a Microsoft Fabric workspace
    • Identify suitable scenarios for Spark notebooks and Spark jobs
    • Use Spark dataframes to analyze and transform data
    • Use Spark SQL to query data in tables and views
    • Visualize data in a Spark notebook
  • Module 4: Tables in a Microsoft Fabric lakehouse are based on the Delta Lake technology commonly used in Apache Spark. By using the enhanced capabilities of delta tables, you can create advanced analytics solutions.

    In this module, you'll learn how to:

    • Understand Delta Lake and delta tables in Microsoft Fabric
    • Create and manage delta tables using Spark
    • Use Spark to query and transform data in delta tables
    • Use delta tables with Spark structured streaming
  • Module 5: 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 6: 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
  • Module 7: Explore the potential of the medallion architecture design in Microsoft Fabric. Organize and transform your data across Bronze, Silver, and Gold layers of a lakehouse for optimized analytics.

    In this module, you'll learn how to:

    • Describe the principles of using the medallion architecture in data management.
    • Apply the medallion architecture framework within the Microsoft Fabric environment.
    • Analyze data stored in the lakehouse using DirectLake in Power BI.
    • Describe best practices for ensuring the security and governance of data stored in the medallion architecture.

Syllabus

  • Module 1: Module 1: Introduction to end-to-end analytics using Microsoft Fabric
    • Introduction
    • Explore end-to-end analytics with Microsoft Fabric
    • Data teams and Microsoft Fabric
    • Enable and use Microsoft Fabric
    • Knowledge Check
    • Summary
  • Module 2: Module 2: Get started with lakehouses in Microsoft Fabric
    • Introduction
    • Explore the Microsoft Fabric Lakehouse
    • Work with Microsoft Fabric Lakehouses
    • Explore and transform data in a lakehouse
    • Exercise - Create and ingest data with a Microsoft Fabric Lakehouse
    • Knowledge check
    • Summary
  • Module 3: Module 3: Use Apache Spark in Microsoft Fabric
    • Introduction
    • Prepare to use Apache Spark
    • Run Spark code
    • Work with data in a Spark dataframe
    • Work with data using Spark SQL
    • Visualize data in a Spark notebook
    • Exercise - Analyze data with Apache Spark
    • Knowledge check
    • Summary
  • Module 4: Module 4: Work with Delta Lake tables in Microsoft Fabric
    • Introduction
    • Understand Delta Lake
    • Create delta tables
    • Work with delta tables in Spark
    • Use delta tables with streaming data
    • Exercise - Use delta tables in Apache Spark
    • Knowledge check
    • Summary
  • Module 5: Module 5: 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 6: Module 6: 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
  • Module 7: Module 7: Organize a Fabric lakehouse using medallion architecture design
    • Introduction
    • Describe medallion architecture
    • Implement a medallion architecture in Fabric
    • Query and report on data in your Fabric lakehouse
    • Considerations for managing your lakehouse
    • Exercise - Organize your Fabric lakehouse using a medallion architecture
    • Knowledge check
    • Summary

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