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On the environment page, click Create job. From the available options, select Deploy job.
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On the Deploy job page, provide the job details:
- Job name: Enter a name such as
jaffle_shop. - Environment: Select the environment created earlier.
- Commands: Add the command to run, such as
dbt build.
You can schedule the job using the scheduling options. You can also enable source freshness and adjust advanced configurations such as threads and target name based on your project requirements.
- Job name: Enter a name such as
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Save the job.
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After saving the job, dbt Cloud opens the job details page. Click Run now to start the job.
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After the job completes, verify that the run is successful.
After the job completes, you will be able to view the following:
- Run summary – Displays the various stages of the job along with their run times. Expanding these summaries provides access to console and debug logs, which can be downloaded.
- Lineage – Displays a graph representing the data flow in your project.
- Model timing – Shows the execution times of models and tests.
- Artifacts – Provides access to artifacts from your runs, such as the
manifest.jsonfile.