Read the FAQs to learn more about the dbt Semantic Layer, how it works, how to build metrics, integrations, and more.| docs.getdbt.com
In , both jobs and environments are configured to use a specific version of . The version can be upgraded at any time.| docs.getdbt.com
Integrate and query metrics and dimensions in downstream tools using the Semantic Layer APIs| docs.getdbt.com
Discover the diverse range of partners that seamlessly integrate with the powerful dbt Semantic Layer, allowing you to query and unlock valuable insights from your data ecosystem.| docs.getdbt.com
Use exports to write tables to the data platform on a schedule.| docs.getdbt.com
The dbt Cloud job scheduler queues scheduled or API-triggered runs, before preparing the job to enter cloud data platform. Build observability into transformation workflows with the in-app scheduling, logging, and alerting.| docs.getdbt.com
Learn how to create and set up CI checks to test code changes before deploying to production.| docs.getdbt.com
Saved queries are a way to save commonly used queries in MetricFlow. They can be used to save time and avoid writing the same query over and over again.| docs.getdbt.com
Seamlessly set up the dbt Semantic Layer in dbt Cloud using intuitive navigation.| docs.getdbt.com
Instructions for installing and configuring dbt Cloud CLI| docs.getdbt.com