Data Lineage With Unity Catalog

Unity Catalog is a unified governance solution for all data and AI assets including files, tables, machine learning models and dashboards in your lakehouse on any cloud.

In this demo, we’ll show how Unity Catalog provides lineage on any data that you read and write.

Unity Catalog provides lineage not only at a table level, but also at a row level, allowing you to track which application is using which data — ideal for PII/GDPR data analysis and governance.

 

To install the demo, get a free Databricks workspace and execute the following two commands in a Python notebook

Dbdemos is a Python library that installs complete Databricks demos in your workspaces. Dbdemos will load and start notebooks, Delta Live Tables pipelines, clusters, Databricks SQL dashboards, warehouse models … See how to use dbdemos

 

Dbdemos is distributed as a GitHub project.

For more details, please view the GitHub README.md file and follow the documentation.
Dbdemos is provided as is. See the License and Notice for more information.
Databricks does not offer official support for dbdemos and the associated assets.
For any issue, please open a ticket and the demo team will have a look on a best-effort basis.