Wikis and Tags

Wikis

Wikis for datasets provide an efficient way to document and describe datasets within the Dremio Catalog. These wikis enable users to add comprehensive information, context, and relevant details about the datasets they manage. With a user-friendly, rich text editor, the wikis support Github-flavored markdown, allowing users to format content easily and enhance readability. Wikis ensure that dataset documentation is both accessible and structured, making it simpler for teams to understand the datasets and how to work with them effectively.

Tags

Tags for datasets offer a powerful way to organize and retrieve datasets within a data catalog. By creating and assigning tags to datasets, users can easily search and filter through large collections related datasets. Tags also enhance the search experience, allowing users to quickly locate datasets associated with a specific tag. By clicking on a tag, users can initiate a search that brings up all datasets linked to that tag, streamlining the process of finding relevant data and improving overall data management.

The following image shows a dataset in the catalog with several tags and a brief wiki. In this example, the tag "pii-data" was used in the search field to narrow down on a customer dataset that contains Personally Identifiable Information (PII).