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Implementing a Lakehouse with Microsoft Fabric (DP-601) Training

Implementing a Lakehouse with Microsoft Fabric (DP-601) Certification
Tailored to develop your fundamental skills in data engineering on Microsoft Fabric, with a specific emphasis on the Lakehouse concept, this Microsoft Fabric (DP-601) Training course delves into the robust capabilities of Apache Spark for distributed data processing. It covers essential techniques for efficient data management, versioning, and reliability through the utilization of Delta Lake tables. Additionally, the course explores data ingestion and orchestration using Dataflows Gen2 and Data Factory pipelines.
Comprising a blend of lectures and hands-on exercises, this course equips you to confidently navigate and work with Lakehouses in Microsoft Fabric.

Implementing a Lakehouse with Microsoft Fabric (DP-601) Objectives

  • Discover how Microsoft Fabric can meet your enterprise's analytics needs in one platform.
  • Describe core features and capabilities of lakehouses in Microsoft Fabric.
  • Analyse and process data in a Lakehouse at scale.
  • Create advanced analytics solutions using the enhanced capabilities of delta tables.
  • Visually create multi-step data ingestion and transformation using Power Query Online with Dataflows (Gen2).
  • Create pipelines that orchestrate data ingestion and transformation tasks with Data Factory capabilities within Microsoft Fabric.

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Key Point of Training Programs

  • Implementing a Lakehouse with Microsoft Fabric (DP-601) Outline

    Module 1: Introduction to end-to-end analytics using Microsoft Fabric

    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: Use Apache Spark in Microsoft Fabric

    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 analyse and transform data
    - Use Spark SQL to query data in tables and views
    - Visualise data in a Spark notebook

    Module 4: Work with Delta Lake tables in Microsoft Fabric

    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: Ingest Data with Dataflows Gen2 in Microsoft Fabric

    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

  • Implementing a Lakehouse with Microsoft Fabric (DP-601) Delivery Format

    In-Person

    Online

  • Implementing a Lakehouse with Microsoft Fabric (DP-601) Prerequisites

    You should be familiar with basic data concepts and terminology.

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