Implementing Databricks Unity Catalog For Centralized Data Governance In Multi-Business-Unitenterprises

Abstract

Multi-business-unit enterprises often struggle with fragmented, loosely governed data landscapes that hinder compliance, erode trust, and jeopardize risk management. Stability and resilience depend on swift, reliable access to accurate, consistent, secure data. Enterprise data strategies require inter-business-unit data-sharing capabilities, preferably served from a single platform. At the same time, the risk of data leaks, privacy violations, and misrepresentations drives the need for stringent policy supervision. The Databricks Unity Catalog aims to provide a centralized governance and security offering across the Databricks Lakehouse solution with a focus on data sharing and security. It enables a single source of policy truth applicable across all Databricks workspaces, simplifies metadata tagging and classification, and keeps data lineage within a single platform.

A reference architecture for Unity Catalog is defined along with the organizational processes required for its effective and efficient operation. Systematized management for identity and access, attribute-based access control, policy enforcement, data quality, security observability, and operationalizing Unity Catalog completes the analysis. Together, the components lay the foundation for deliberate data governance economics: the collection of policies appropriate for the business with robust processes to govern compliance to those policies. Unity Catalog is not a shortcut to good governance, but rather a structured enforcement framework that provides support and clarity for the often-chaotic realm of policy governance and risk management.