As you’ve learned throughout this book, dbt is a fantastic tool for building, maintaining, and scaling your data transformation processes. We’ve covered many aspects of dbt, ranging from utilizing seed files, building incremental models, and using Jinja and macros to fill in the gaps where SQL gets repetitive. So far, we have only run these transformations in a development environment, but once you are ready for data consumers to utilize the data models that you have built, you will need to deploy dbt to a stable production environment.