Promotion: Exam voucher and practice test are included for this training
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.
Audience Profile
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 Syllabus
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
Implement a Data Analytics Solution with Azure Synapse Analytics
Work with Data Warehouses using Azure Synapse Analytics
Work with Hybrid Transactional and Analytical Processing Solutions using Azure Synapse Analytics
Implement a Data Streaming Solution with Azure Stream Analytics
Implement a data lakehouse analytics solution with Azure Databricks
Data Engineering on Microsoft Azure
22.4.2025 – 25.4.2025 Online ILO, Online, Online Online
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