DP-203T00-A Data Engineering on Microsoft Azure [Cloud Slice Provided]

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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.

This course uses Azure Cloud Slice! Azure Cloud Slice eliminates the need for pass management and allows users to get straight to learning. No student Azure Passes are required. Each lab has a maximum of 10 launches.

To learn more about Azure Cloud Slice labs, visit our MOC Labs and Azure Access webpage.

Instructors: Please review the "Instructor Delivery Guide" course activity prior to class delivery. This activity includes important instructor and user information, as well as delivery best practices.