20 docs tagged with "governance"

Learn how to manage user permissions and access to data assets in Atlan for security and compliance.

Learn how to automatically assign roles and sub-roles to users in Atlan based on their group memberships using the group-role sync app.

Learn how to manage data contracts and agreements in Atlan to ensure data quality and compliance.

Learn how to create and manage custom metadata attributes in Atlan to extend your data catalog with organization-specific information.

Create and manage data products to organize and govern your data assets by domain.

Monitor and maintain data quality across your data sources with automated quality checks, alerts, and governance workflows

Set up and configure Databricks for data quality monitoring through Atlan.

Learn how to organize and manage domains in Atlan to structure your data assets in a logical and business-aligned way.

Learn how to create and maintain a centralized business glossary in Atlan to standardize terminology and definitions across your organization.

Move from the legacy Snowflake data quality permissions to the new role- and procedure-based model

Request and manage changes to assets that you don't have direct edit access to.

Configure Databricks to enable data quality monitoring through Atlan.

Configure Snowflake to enable data quality monitoring through Atlan.

Set up and configure Snowflake for data quality monitoring through Atlan.

Reference for source owner management capabilities and configuration in stewardship workflows

Learn how to implement data stewardship in Atlan through automated workflows, policies, and task management.

Learn how to use tags in Atlan to categorize and organize your data assets for improved discoverability and governance.

Complete configuration reference for the User Role Sync app properties and settings.

Learn how to manage users and groups in Atlan to control access and organize your data team.

Understand Atlan's Data Quality Studio and how it enables business and data teams to collaborate on defining, monitoring, and enforcing data quality expectations