Managing data, analytics, and AI governance is crucial yet challenging in any data democratization effort. Organizations often deploy separate systems for data warehouses and data lakes, creating data silos and complicating governance. These systems have different models, making it hard to manage access consistently, especially when data assets like dashboards, ML models, and notebooks come with their own permission schemes.
The complexity increases with data spread across multiple clouds, each with its own access management solutions. To address these challenges, a unified approach to governance is essential. This modern strategy should cover all data use cases, from business intelligence to machine learning, and include best practices for managing a data lakehouse.
Discover how to streamline governance with a unified approach on the Databricks Data Intelligence Platform. Our eBook provides insights into why modern governance is necessary, key components of a successful framework, and best practices for data lakehouse management.
Download this PDF to learn more about simplifying your data governance.
