DP-601 Implementing a Lakehouse with Microsoft Fabric (DP-601T00)


Seminar - Ziel

In this 1-day training "DP-601 Implementing a Lakehouse with Microsoft Fabric (DP-601T00)" you will be introduced to the exciting world of Data Engineering and specifically delve into the concept of the Lakehouse. The course spans one day and provides you with an intensive learning experience to enhance your skills in this area.

You will have the opportunity to discover the impressive capabilities of Apache Spark and understand how it is used for distributed data processing. Through hands-on exercises, you will learn how to perform efficient data management, version data, and enhance reliability through working with Delta Lake tables. Additionally, you will become acquainted with the important concepts of data injection and orchestration and learn how to leverage Dataflows Gen2 and Data Factory Pipelines in your work.

Teilnehmer - Zielgruppe

  • Data Analyst
  • Data Engineer
  • Data Scientist

Kurs - Voraussetzungen

  • Understanding of basic data concepts and terms


  • 1 Tag
  • 09:00 Uhr bis 17:00 Uhr


  • nach Absprache

Seminar-Inhalt / Agenda

Introduction to end-to-end analytics using Microsoft Fabric

  • Describe end-to-end analytics in Microsoft Fabric

Get started with lakehouses 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

Use Apache Spark in Microsoft Fabric

  • 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

Work with Delta Lake tables in Microsoft Fabric

  • 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

Ingest Data with Dataflows Gen2 in Microsoft Fabric

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

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