Learn about designing and implementing data security on Azure and begin your preparations to pass that domain of the Microsoft Azure Data Engineering (DP-203) exam.
Overview
Syllabus
Introduction
- Overview
- Design a data auditing strategy
- Design a data masking strategy
- Design for data privacy
- Design a data retention policy
- Design to purge data based on business requirements
- Role-based access control and POSIX-like Access Control List for Data Lake
- Design row-level and column-level security
- Encrypt data at rest and in motion
- Implement POSIX-like ACLs for Data Lake Storage Gen2
- Manage identities, keys, and secrets across different data platform technologies
- Implement secure endpoints—private and public
- Implement resource tokens in Azure Databricks
- Load a DataFrame with sensitive information
- Write encrypted data to tables or Parquet files
- Summary and next steps
Taught by
Noah Gift