Manage data pipelines in Azure Data Factory or Azure Synapse Pipelines
Schedule data pipelines in Data Factory or Azure Synapse Pipelines
Implement version control for pipeline artifacts
Manage Spark jobs in a pipeline
Encrypt data at rest and in motion
Implement row-level and column-level security
Implement Azure role-based access control (RBAC)
Implement POSIX-like access control lists (ACLs) for Data Lake Storage Gen2
Implement a data retention policy
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
Manage sensitive information
Implement logging used by Azure Monitor