DP-750: Azure Databricks Data Engineer Associate

Course Overview

Azure Databricks is one of the fastest-growing skills in enterprise data engineering today. This course is a fast, hands-on way to master Azure and Databricks together, covering architecture, Unity Catalog governance, Delta Lake, pipeline development, and performance optimization, with real hands-on labs throughout.

What You Will Learn

• Set up and configure Azure Databricks workspaces and compute
• Secure and govern data assets with Unity Catalog
• Ingest data with Auto Loader and streaming sources
• Implement the Medallion Architecture with Delta Lake
• Build and deploy pipelines with Lakeflow Jobs and Declarative Pipelines
• Apply CI/CD with Git integration and Databricks Asset Bundles
• Optimise performance with partitioning, Z-Ordering, and caching
• Monitor and troubleshoot workloads with Spark UI and Azure Monitor

13 Hands-on Labs Included

Practice on real Microsoft Azure Databricks environments with official Microsoft lab content, covering the full data engineering lifecycle from setup to production.

1. 1.Explore Azure Databricks
2. 2.Select and Configure Compute in Azure Databricks
3. 3.Create and Organize Objects in Unity Catalog
4. 4.Secure Unity Catalog Objects
5. 5.Govern Unity Catalog Objects
6. 6.Design and Implement Data Modeling with Azure Databricks
7. 7.Ingest Data into Unity Catalog
8. 8.Cleanse, Transform, and Load Data into Unity Catalog
9. 9.Implement and Manage Data Quality Constraints in Unity Catalog
10. 10.Design and Implement Data Pipelines with Azure Databricks
11. 11.Implement Lakeflow Jobs with Azure Databricks
12. 12.Implement Development Lifecycle Processes in Azure Databricks
13. 13.Monitor, Troubleshoot, and Optimize Workloads in Azure Databricks

Each lab runs on an individual Microsoft-hosted Azure environment, no manual Azure subscription setup required. Labs can be revisited after training for extended practice.