ELEMENTARY CLOUD

The Elementary Data Catalog is designed to make a curated collection of datasets easily discoverable by data consumers, along with their dependencies, health status and more.

The Catalog tab provides a comprehensive view of the datasets created for the various analytics teams, enabling easy discovery and access to key metadata for data consumers within your team. It centralizes dataset information, including descriptions, columns, column descriptions, latest update times, and dataset health.

From each dataset, you can navigate directly to its lineage and test results, ensuring seamless exploration of data dependencies and quality insights.

Key Features

Easily Discoverable Data Assets

Quickly and easily navigate the catalog using the side tree and its search bar. Easily find tables, views, BI dashboard and more. You can view the data assets by their location in the DWH or in the dbt project, and group them by tags, owners or path.

Catalog tree

Custom Metadata Support

Need to display additional metadata fields from your dbt meta config? Reach out to our team to customize the catalog with fields that best fit your data workflows.

Critical Asset Tagging

Mark key datasets as critical to highlight their importance and prioritize monitoring efforts. Read more here.

Lineage & Dependency Export

View upstream and downstream dependencies for each dataset, and export the full dependency list as a CSV for further analysis or documentation.

Lineage export

Data Source

The catalog content is automatically generated from the descriptions maintained in your dbt project YML files, ensuring consistency with your existing documentation. In addition, Elementary enriches the catalog with health scores, test coverage status and results, as well as metadata from your DWH information schema, providing a comprehensive view of your datasets.

Coming soon

Click on the links below to be notified when these features are released!