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.

Get started with data engineering on Azure

Build data analytics solutions using Azure Synapse serverless SQL pools

Perform data engineering with Azure Synapse Apache Spark Pools

Transfer and transform data with Azure Synapse Analytics pipelines

Before starting this learning path, you should have completed the Microsoft Azure Data Fundamentals certification or have equivalent knowledge and experience.

https://learn.microsoft.com/en-us/training/courses/dp-203t00