Implement development lifecycle processes in Azure Databricks

  • Module
  • 9 Units
Intermediate
Data Engineer
Azure Databricks

Azure Databricks integrates with established development practices through Git folders for version control and Databricks Asset Bundles for infrastructure-as-code deployments. This module explores Git version control best practices, branching and pull request workflows, comprehensive testing strategies, and CLI-based bundle deployment across environments.

Learning objectives

By the end of this module, you'll be able to:

  • Apply Git version control best practices using Git folders in Azure Databricks
  • Manage branching, pull requests, and conflict resolution for collaborative development
  • Implement a testing strategy including unit, integration, end-to-end, and user acceptance tests
  • Configure and customize Databricks Asset Bundles for deployment automation
  • Deploy bundles using the Databricks CLI across development and production environments

Prerequisites

The following prerequisites should be completed:

  • Basic understanding of Git version control concepts
  • Familiarity with Azure Databricks workspaces
  • Experience with Python programming and notebooks
  • Knowledge of data engineering fundamentals
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