Exploring the dbt Cloud semantic layer in Preset

Preset's integration with dbt Cloud enhances data management by allowing organizations to define and synchronize data models and metrics between dbt Cloud and Preset Cloud, facilitating a seamless workflow for data visualization and exploration. The integration supports the dbt Semantic Layer via MetricFlow, enabling users to upgrade to dbt versions 1.6 and 1.7 while maintaining dbt as the primary source for models and metrics in Apache Superset. This integration distinguishes between dbt's and Superset's treatment of metrics, with dbt focusing on declarative data transformations and Superset emphasizing interactive data exploration. The collaboration allows users to manage metrics as version-controlled assets and provides two complementary workflows: one for interactive exploration in Superset and another for presenting well-defined metrics computed by dbt Cloud. The setup process involves connecting a database, such as BigQuery, to Superset and utilizing a CLI tool for syncing metrics, ensuring that data remains up-to-date and manageable under source control.

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