24 docs tagged with "Metadata management"

Overview of badges in Dataedo

The AI Autodocumentation feature in Dataedo leverages the power of Large Language Models (LLMs) to automatically generate documentation for your data sources. With this feature you can quickly and efficiently document glossary terms, KPIs, as well as database objects like tables, views, and their columns.

Data Classification and Semantic Types enable easy categorization of your data, and help you to assure compliance with various information protection acts. If Classification is added to an object, the relevant badge is displayed on all its representations within your repository, and can be seen by all Users.

Follow the steps below to configure the AI Autodocumentation feature in Dataedo with Azure OpenAI models.

Overview of badges in Dataedo

Check out these tips for creating effective Entity-Relationship Diagrams (ERDs) with Dataedo.

Overview of badges in Dataedo

Learn about database diagrams (ERD) in Dataedo.

You can generate descriptions for tables, views, and their columns from two locations in Dataedo Portal:

In this article you'll see how to generate and manage AI descriptions for terms and KPIs in Dataedo Portal. You'll also see detailed instructions for editing and saving descriptions, integrating with Dataedo Desktop, and covers necessary permissions and optimization tips.

Learn how to use glossaries in Desktop

Learn how to link Glossary terms with data assets in Dataedo.

Follow the steps below to configure the AI Autodocumentation feature in Dataedo with OpenAI models.

Learn about the Report Catalog feature in Dataedo.

Data Classification is important, raising general awareness of sensitive data within your organization. As such, it is crucial that you understand how to run the process, and read its results.

Learn how to define relationships between terms, categories, rules, and policies in the catalog.

Learn how to troubleshoot common issues with AI autodocumentation

AI-generated vs. regular descriptions