Manage data privacy and governance with Azure Databricks
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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.
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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