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Data dbt Transformations

12 Blueprints

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Chain dbt Cloud staging, marts, and exposures jobs into one dependency-aware pipeline with Slack alerts.

Run the dbt Cloud CI job, pause for human approval, then run the production job and report to Slack.

Build and test dbt Core on a CI target, pause for human approval, then build the production target only after sign-off.

Clone a dbt project from Git and run it against Snowflake in an isolated Docker container, end to end with Kestra.

Clone a SQLMesh project from Git, run `sqlmesh plan --auto-apply`, and query the resulting DuckDB database with Kestra.

Run a full dbt build against MotherDuck, cloning your dbt project from Git and executing it in a reproducible Docker container.

Run a dbt ELT pipeline on PostgreSQL by cloning a dbt project from Git and executing dbt build inside a Docker container.

Clone a dbt project from Git and run dbt deps plus dbt build on DuckDB inside one Docker container.

Pull a dbt project from Git and run dbt build against Amazon Redshift inside a reproducible Docker container.

Run dbt Core transformations on DuckDB straight from a Git repository for fast, reproducible, zero-infrastructure analytics.

Clone a dbt project from Git and run dbt build against Google BigQuery inside a container, with full logging and version control.

Run dbt Core models and tests on a schedule and alert Slack the moment a build or test fails.