Data Engineering on Microsoft Azure (DP-203T00)

Course Description

In this 4-day Data Engineering on Microsoft Azure training course, the student will learn how to implement and manage data engineering workloads on Microsoft Azure, using Azure services such as Azure Synapse Analytics, Azure Data Lake Storage Gen2, Azure Stream Analytics, Azure Databricks, and others. The course focuses on common data engineering tasks such as orchestrating data transfer and transformation pipelines, working with data files in a data lake, creating and loading relational data warehouses, capturing and aggregating streams of real-time data, and tracking data assets and lineage.

Course Summary

Next Public Course Dates

UK & Europe:

  • 26 - 29 September 2023
  • 10 - 13 October 2023
  • 24 - 27 October 2023

US & Canada:

  • 3 - 6 October 2023
  • 17 - 20 October 2023
  • 5 - 8 December 2023
Prerequisites
  • None
Duration
  • 4 Days
Available Formats
  • Public Virtual Live Instructor-Led
  • Private Virtual Live Instructor-Led
  • Private Onsite
Audience
  • The primary audience for this course is data professionals, data architects, and business intelligence professionals who want to learn about data engineering and building analytical solutions using data platform technologies that exist on Microsoft Azure. The secondary audience for this course includes data analysts and data scientists who work with analytical solutions built on Microsoft Azure.

Course Modules

Get started with data engineering on Azure

  • Introduction to data engineering on Azure
  • Introduction to Azure Data Lake Storage Gen2
  • Introduction to Azure Synapse Analytics

Upcoming Public Virtual Live Instructor-led Course Dates

UK & Europe:

US & Canada:


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