This course is designed to build your foundational skills in data engineering on Microsoft Fabric, focusing on the Lakehouse concept. This course will explore the powerful capabilities of Apache Spark for distributed data processing and the essential techniques for efficient data management, versioning, and reliability by working with Delta Lake tables. This course will also explore data ingestion and orchestration using Dataflows Gen2 and Data Factory pipelines. This course includes a combination of lectures and hands-on exercises that will prepare you to work with lakehouses in Microsoft Fabric. This course may earn a Credly badge.

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* Actual course outline may vary depending on offering center. Contact your sales representative for more information.

Learning Objectives

Describe end-to-end analytics in Microsoft Fabric
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
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
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
Describe Dataflow (Gen2) capabilities in Microsoft Fabric
Create Dataflow (Gen2) solutions to ingest and transform data
Include a Dataflow (Gen2) in a pipeline

1
  • INTRODUCTION TO END-TO-END ANALYTICS USING MICROSOFT FABRIC

  • Explore end-to-end analytics with Microsoft Fabric

    Data teams and Microsoft Fabric

    Enable and use Microsoft Fabric

    Knowledge Check


2
  • GET STARTED WITH LAKEHOUSES IN MICROSOFT FABRIC

  • Explore the Microsoft Fabric Lakehouse

    Work with Microsoft Fabric Lakehouses

    Exercise - Create and ingest data with a Microsoft Fabric Lakehouse


3
  • USE APACHE SPARK IN MICROSOFT FABRIC

  • 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


4
  • WORK WITH DELTA LAKE TABLES IN MICROSOFT FABRIC

  • 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


5
  • INGEST DATA WITH DATAFLOWS GEN2 IN MICROSOFT FABRIC

  • 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


Audience

The primary audience for this course is data professionals who are familiar with data modeling, extraction, and analytics. It is designed for professionals who are interested in gaining knowledge about Lakehouse architecture, the Microsoft Fabric platform, and how to enable end-to-end analytics using these technologies. Job role: Data Analyst, Data Engineer, Data Scientist

Language

English

Prerequisites

Students for this course should be familiar with basic data concepts and terminology.

$695

Length: 1.0 day (8 hours)

Level:

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