We recently published a FREE special 10-module on-demand video training course, “DP-203 Data Engineering on Microsoft Azure”, where instructors were video-recorded for all modules.
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.
All video recorded modules for “DP-203 Data Engineering on Microsoft Azure” are available below:
- DP-203 Course Introduction ( 1 of 10 )
- DP-203 Getting started with Data Engineering on Azure ( 2 of 10 )
- DP-203 Build data analytics solutions using Azure Synapse Analytics serverless SQL pools ( 3 of 10 )
- DP-203 Perform data engineering with Azure Synapse Apache Spark Pools ( 4 of 10 )
- DP-203 Work with data warehouses using Azure Synapse Analytics ( 5 of 10 )
- DP-203 Transfer and transform data with Azure Synapse Analytics Pipelines ( 6 of 10 )
- DP-203 Work with hybrid transactional and analytical processing (HTAP) Solutions using Azure Synapse Analytics ( 7 of 10 )
- DP-203 Implement a data streaming solution with Azure Stream Analytics ( 8 of 10 )
- DP-203 Govern data across an enterprise ( 9 of 10 )
- DP-203 Data engineering with Azure Databricks ( 10 of 10 )
Additionally, you may find written versions of this course located at: Course DP-203T00-A: Data Engineering on Microsoft Azure – Training | Microsoft Learn
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