Govern Data

Effective data governance is essential for managing secure, compliant, transparent, and traceable data products. In addition to securing your data using role-based access control (RBAC), data governance for data products allows you to apply fine-grained access controls (row access & column-masking policies) on your data, as well as trace the lineage of any dataset in the lakehouse. Together, these governance tools help organizations optimize the value they derive from their data to enhance data quality and transparency, while minimizing the risks associated with data misuse and non-compliance. Dremio also provides tools for describing, identifying, and displaying datasets using wikis and tags.

Row-Access and Column-Masking Policies

Row access & column-masking (or fine-grained access control) policies provide mechanisms to enforce data privacy and security rules directly on your data.

Lineage

Data lineage allows you to track and visualize data as it moves through the various stages of a data pipeline. It provides clarity on where the data comes from, how it is transformed, and where it is used.

Wikis and Tags

Wikis for datasets allow users to document and describe datasets in the Dremio Catalog using a rich text editor with Github-flavored markdown.

Tags for datasets help organize and retrieve data efficiently by allowing users to search, filter, and locate datasets through specific tag associations.