With column-level lineage and dbt metrics as a first-class citizen in Atlan, this partnership will increase context, visibility, and self-service for various knowledge groups.
In the present day we’re excited to announce our partnership with dbt Labs, the pioneer in analytics engineering. As a part of this, joint clients can have entry to an end-to-end governance framework for knowledge fashions and metrics within the trendy knowledge stack.
dbt Labs’ new Semantic Layer permits organizations to centrally outline key enterprise metrics like “income,” “buyer rely,” or “churn charge” in dbt, and question them in downstream analytics instruments. This enables everybody within the enterprise to really feel assured that they’re working from the identical assumptions as their colleagues, no matter their knowledge tooling of alternative. If a metric definition is up to date in dbt, it’s seamlessly up to date all over the place, making certain consistency all through the enterprise.
Atlan’s integration with the dbt Semantic Layer brings dbt’s wealthy metrics into the remainder of the information stack. With this integration, firm metrics are actually part of column-level lineage, spanning from supply methods and knowledge storage to transformation and BI.
We’re excited to companion with dbt Labs to make metrics a first-class citizen for knowledge groups.
Metrics are the language via which the enterprise understands knowledge. For much too lengthy, knowledge groups have handled infinite chaos about metrics definitions and accuracy.
Now, with Atlan and dbt, various knowledge folks can lower via the chaos and work collectively higher with simpler collaboration and alignment.
Varun Banka, Co-Founder at Atlan
Our native dbt Cloud integration ingests all dbt metrics and metadata about dbt fashions, merges it with metadata from all different instruments within the knowledge stack, creates column-level lineage from supply to BI, and sends that unified context again into instruments like Snowflake and the BI instruments the place folks work day by day.
With this, when questions come up about firm knowledge, knowledge groups can rapidly discover the proper metric, backtrack via adjustments through model management, assess precisely what modified at each layer (i.e. the information, definition, and operational layers), and hint how downstream belongings have been affected. This highly effective affect and root trigger evaluation lastly offers trendy knowledge groups the instruments they want for end-to-end knowledge governance and alter administration at each stage of the information lifecycle.
The dbt Semantic Layer offers clients a central supply of reality for his or her business-critical metrics, and the flexibility to question them from instruments like Atlan.
By means of this partnership between dbt Labs, Atlan, and different trade leaders, organizations will have the ability to profit from unprecedented consistency and precision of their key metrics.
Margaret Francis, Chief Product Officer at dbt Labs
Right here is how joint clients profit from Atlan and dbt Labs’ partnership:
- 360° metric profiles: Identical to a knowledge asset, each dbt metric is now a first-class citizen with a full profile in Atlan. Knowledge groups can discover and confirm metrics, assign homeowners, personalize entry, connect documentation, observe adjustments, discover downstream belongings, and extra.
- Metrics querying: With our Visible Question Builder, non-technical knowledge customers can now question dbt metrics — democratizing knowledge and decreasing dependencies on analytical and knowledge engineers.
- Finish-to-end, column-level knowledge lineage: We use automated SQL parsing to create end-to-end, column-level lineage for all dbt transformations. This exhibits how every dbt mannequin impacts not simply upstream warehouses but in addition downstream BI reviews and dashboards.
- Activating metric context into BI: With our Chrome extension, dbt metadata is now accessible in downstream BI instruments like Looker and Tableau.
This new partnership and integration comes on the heels of our main launch, that includes a whole redesign and slate of brand-new options, integrations, and partnerships. We have been additionally lately named a Chief in The Forrester Wave™: Enterprise Knowledge Catalogs for DataOps, Q2 2022.
Be taught extra
