Governance & Access Hierarchy

• Data Quality: Establishing standards for data accuracy, completeness, consistency, and timeliness.
• Metadata Management: Defining and maintaining metadata to track data lineage, format, and usage.
• Data Security: Implementing measures to protect data from unauthorized access, modification, or disclosure.
• Data Retention: Defining policies for data storage and deletion.
• Data Compliance: Ensuring adherence to industry regulations (e.g., GDPR, HIPAA, PCI DSS).

An access hierarchy determines who can access and manipulate data at different levels within an organization. It is essential for maintaining data security and integrity. In the context of ETL pipelines, access control should be implemented at various stages:

• Source Systems: Restricting access to sensitive data.
• ETL Processes: Granting permissions to specific roles involved in data extraction, transformation, and loading.
• Target Systems: Controlling access to data warehouses or data lakes based on user roles and responsibilities.

To effectively manage data governance and access hierarchy within ETL pipelines, consider the following:

• Role-Based Access Control (RBAC): Assigning permissions based on user roles and responsibilities.
• Data Classification: Categorizing data based on sensitivity and access requirements.
• Data Masking: Protecting sensitive data by replacing it with non-sensitive data.
• Data Encryption: Encrypting data at rest and in transit.
• Regular Access Reviews: Auditing user permissions and access privileges.
• Data Lineage Tracking: Documenting the data's journey from source to target.