What type of governance does Volumes provide?

Volumes provide governance for non-tabular data, which encompasses various data types that do not conform to traditional tabular structures, such as images, videos, documents, or complex hierarchical data. This type of governance is essential for managing, securing, and providing access to diverse data assets effectively, ensuring compliance with regulations and maintaining data integrity.

Governance of non-tabular data is important in today’s data landscape because organizations increasingly work with a variety of data formats. By implementing proper governance mechanisms, along with metadata management and data lineage tracking, organizations can maintain control over this type of unstructured or semi-structured data.

In contrast, the other options focus on different types of data or models. Governance for structured data typically refers to traditional databases and data warehouses, governance for live data streams pertains to the management of real-time data processing, and governance for machine learning models concerns the oversight and management of the models themselves, including versioning, tracking, and compliance. Each of these focuses on distinct aspects of data management that do not align with the broad scope of governing non-tabular data assets.