Course Description

In this 4-day Course DP-203T00-A: 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.

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 Summary

Next Public Course Dates

UK & Europe:

  • 11 - 14 August 2026
  • 25 - 28 August 2026
  • 8 - 11 September 2026

US & Canada:

  • 18 - 21 August 2026
  • 1 - 4 September 2026
  • 15 - 18 September 2026

More dates

Prerequisites
  • Microsoft Azure Data Fundamentals
  • Familiarity with cloud computing concepts and Microsoft Azure
  • Familiarity with fundamental data concepts
  • Analytical data workloads in Microsoft Azure
  • Familiarity with Azure Synapse Analytics
  • Experience using Transact-SQL to query and manipulate data
Duration
  • 4 Days
Available Formats
  • Public Virtual Live Instructor-Led
  • Private Virtual Live Instructor-Led
  • Private Onsite
Audience
  • Data Professionals
  • Data Architects
  • Business Intelligence Professionals
  • Data Analysts
  • Data Scientists

Course Modules

Introduction to data engineering on Azure

  • Introduction
  • What is data engineering
  • Important data engineering concepts
  • Data engineering in Microsoft Azure
  • Knowledge check
  • Summary

Use Delta Lake in Azure Synapse Analytics

  • Introduction
  • Understand Delta Lake
  • Create Delta Lake tables
  • Create catalog tables
  • Use Delta Lake with streaming data
  • Use Delta Lake in a SQL pool
  • Exercise – Use Delta Lake in Azure Synapse Analytics
  • Knowledge check
  • Summary

Get started with Azure Stream Analytics

  • Introduction
  • Understand data streams
  • Understand event processing
  • Understand window functions
  • Exercise – Get started with Azure Stream Analytics
  • Knowledge check
  • Summary

Testimonials

“Mahesh was an EXCELLENT trainer. Very gifted instructor. Able to clearly communicate and teach objectives. Very engaging made you want to keep learning, and was so patient and kind to all students. Would love to be taught by him anytime.

★★★★★

- Jackie Calvo, Quality Improvement Manager, Horizon Health Center

“ExistBI has provided multiple Microsoft Power BI training to our HR, Product and Sales teams. We’ve now engaged them to assist with complex Financial reports”

★★★★★

- Jena Bomboy, HR Director, The Giant Company

“Trainer was amazing. I was worried about staying engaged for 4 days, but the pace and explanation was exceptional! Would love to know what other training he provides.”

★★★★★

- Natalie Chronister, Project Administrator III, Carnegie Mellon University Software Engineering Institute

Upcoming Public Virtual Live Instructor-led Course Dates

UK & Europe:

US & Canada:

    To discuss your training requirements or book a class, drop us a line

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        To book this course, please fill in your details and submit the form.