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Course DP-203T00: Data Engineering on Microsoft Azure

In this 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.

Working Experience as Data Professional
4 Day
Microsoft Azure Services: Synapse Analytics, Data Lake Storage Gen2, Stream Analytics, Databricks


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.


This course is offered by Gisul in partnership with Microsoft
Become proficient in using Azure Synapse Analytics, Azure Data Lake Storage Gen2, Azure Stream Analytics, Azure Databricks
Learn how to manage & deploy data engineering tasks using Azure services
Learn how to capture and aggregate streams of real-time data and track data assets and lineage
Get hands-on experience with Azure services to implement data engineering solutions on Microsoft Azure


Working experience as Data Analysts, Data Architects, Business Intelligence Professionals, etc
Understanding analytical solutions built on Microsoft Azure Services