A data engineering team works in a multi-cloud environment where some datasets are stored in AWS S3 and others in Azure Data Lake Storage (ADLS). They need to:

• Apply consistent access control policies across both clouds.
• Maintain a centralized view of metadata for all datasets.
• Ensure data governance rules are enforced regardless of where the data physically resides.

Which Databricks feature should they use to meet these requirements?