Data Governance

This section outlines the standards, roles, and practices that guide how data is managed, trusted, and used across ARC.

Databricks Governance

Information about ARC’s data governance framework for Databricks, outlining the principles, roles, metadata standards, data quality requirements, and master data practices needed to ensure trusted, reusable, and well-governed data assets.

Metadata Onboarding Guide

Outlines the process for onboarding metadata (column comments and table definitions) into Databricks.