Manage data privacy and governance with Azure Databricks

  • Module
  • 10 Units
Intermediate
Data Engineer
Developer
Data Scientist
Data Analyst
Azure Databricks

In this module, you explore different features and approaches to help you secure and manage your data within Azure Databricks using tools, such as Unity Catalog.

Learning objectives

At the end of this module, you're able to:

  • Implement data encryption techniques
  • Manage access controls
  • Implement data masking and anonymization
  • Use compliance frameworks and secure data sharing
  • Use data lineage and metadata management
  • Roll out governance automation

Prerequisites

  • Ability to navigate the Azure portal
  • Familiarity of the Azure Databricks workspace
  • Knowledge of Spark languages and notebooks
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