github open-metadata/OpenMetadata 0.8.0-release
OpenMetadata 0.8.0-release

latest releases: 1.5.15-release, 1.5.14-release, 1.6.1-release...
2 years ago

Access Control Policy

  • New entities called ‘Role’ and ‘Policy’ have been added.
  • A User has a ‘Role’. A ‘Policy’ can be assigned to a Role.
  • A Policy has a set of ‘Rules’. Rules are used to provide access to functions like updateDescription, updateTags, updateOwner and so on.
  • Can provide access to metadata operations on any entity.
  • A standard set of Roles with their Policies have been added in the new release.
  • ‘Admins’ and ‘Bots’ can perform any metadata operation on any entity.
  • Admins can define policies through the Policy UI, and assign roles to the Users.

Manual Lineage

  • Enhance the lineage captured from machine metadata with user knowledge.
  • Users can edit the lineage and connect the entities with a no-code editor.
  • Drag and drop UI has been designed to add lineage information manually for the table and column levels.
  • Entities like table, pipeline, and dashboard can be dragged and dropped to the lineage graph to create a node.
  • The required entity can be searched and clicked to insert into the graph.

Event Notification via Webhooks & Slack Integration

  • Subscribe event notifications via webhooks.
  • Send metadata change events as Slack notifications
  • Provide timely updates to keep the data team informed of changes

Entity Deletion

  • API support has been added for entity deletion, both for soft delete and hard delete.
  • A deleted dataset is marked as deactivated in the OpenMetadata backend instead of hard deleting it.
  • Ingestion support has been added to publish entity deletion.
  • Enabled version support for deleted entities.

Version panel has been added for all the entities- Table, Topic, Pipeline, and Dashboard.

  • Previously, we were getting the change descriptions for a limited set of fields for the Topic entity; several other fields have now been included.

New Connectors

  • Supports Delta Lake, an open source project that enables building a Lakehouse architecture on top of data lakes.
  • Worked on the refactor of SQL connectors to extract the lineage.
  • Connector API was refactored to capture the configs on the OpenMetadata side and to schedule the ingestion via UI.

Other Features

  • DataSource attribute has been added to the ML model entity.
  • Python API has been updated to add lineage for ML Model entities.
  • A new tab called ‘Bots’ has been added to group users with isBot set to true.
  • Support Application Default Credentials or a keyless, default service account in BigQuery data ingestion.
  • Includes a feature tour for new users.

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