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dbt / data engineering use cases

A summary of different use cases when using the dbt Core and/or Cloud integrations

Harriet McCay avatar
Written by Harriet McCay
Updated this week

When using the dbt integrations, there are a number of key use cases. These can be split into 3 main areas:

  • Debugging

  • Database comparisons

  • Data engineering prototyping

  • Design & development of new data models

  • Test a model in different environments

  • Compare live outputs of models

  • Model exposure

  • High level end-to-end data flow

  • Organising dbt models

  • Tests

  • Documenting dbt exposures

  • Laying out data models

For more technical information about how the dbt integration works, see our docs.

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