Master data engineering on Azure Databricks while preparing for the Microsoft Azure Databricks Data Engineer Associate (DP-750) certification exam. Learn how to set up and configure workspaces and compute resources, then apply data governance with Unity Catalog and optimize data design with Delta Lake. Explore batch and streaming ingestion using Spark Structured Streaming and Azure Event Hubs, and work through joins, data reshaping, schema enforcement, and validation to maintain high data quality. Learn how to assemble, schedule, and orchestrate production pipelines with LakeFlow jobs, and apply CI/CD practices using Git workflows and the testing pyramid. An ideal fit for data professionals looking to strengthen their Azure Databricks expertise, this course equips you with the skills you need to build efficient, reliable data engineering solutions for real-world applications.
This course was created by Microsoft Press. We are pleased to host this training in our library.
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