Automated Documentation
Last updated
Last updated
Select Star makes documentation simple with suggested documentation, description and tag propagation, and public documentation automatically loaded.
Suggested description and suggested documentation are partially based on how data is propagated downstream. You can learn more about how we classify downstream propagation in the Data Lineage - Types of Data Propagation section.
We base suggestion on how data is documented downstream, but we tag in both up and downstream. We suggest you add descriptions and tags at the source and let the propagation be downstream, but we will also do the process upstream.
Select Star will automatically fill in table & column descriptions that match the following:
Upstream / downstream fields where the data has been inherited AS IS
Similar columns (table structure is the same and we regard the table as a duplicate)
Similar BI fields
User descriptions and loaded descriptions will be displayed in black, and suggested descriptions will be shown in gray to highlight the origin of the description.
You can edit the description to set its value manually and this will override the suggested description.
Select Star can automatically generate table, column, dashboard and chart descriptions using Open AI's GPT model, based on the metadata, SQL queries, existing documentation, dashboard and chart titles and formulas, and other data context that Select Star has analyzed.
Data managers can generate descriptions directly on an object by clicking on the icon beside the description, which will kick off the AI generation. Once the AI description is generated, users can select it in the modal to fill in blank or replace existing descriptions.
You can also generate AI descriptions in bulk. With AI Assist, you can fill in all columns in a table without descriptions with a single button click. You can also remove all generated description in one click.
Tagging is one of the most important feature in data cataloguing and data governance. Select Star will automatically suggest tags in your data assets so you don't have to tag every single element in your data catalog.
We infer tags for suggestions by
Upstream and downstream fields where data is propagated AS IS
Tables and column relationships for PII.
Suggested tags will show up with a grey background to indicate they are suggested and not manually assigned by a user.
You can hover over the tag to get more information about the origin of this suggestion.
Tags can be edited at any time so you can explicitly override tag suggestions to suit your needs.
When using tables where public documentation is available, Select Star automatically loads that documentation into your Select Star instance.
Descriptions loaded from public documentation will display as gray text until a user makes an edit.
