Transforming Data with dbt
In this chapter, we will start to build a data application in dbt and touch on how to manage the data life cycle and organize the layers of our data application.
After presenting our reference architecture and its benefits, we will introduce the sample application that will serve us for a few chapters, providing the use cases and the context for importing and managing some data and developing the transformations required to implement the use cases with dbt.
By the end of this chapter, we will have started to develop our example application in dbt and will have done all the steps to create, deploy, run, test, and document a data application with dbt, even if this one is still a very simple one.
The content of this chapter is the following:
- The dbt Core workflow for ingesting and transforming data
- Introducing your stock tracking project
- Defining sources and providing reference data
- How to write and test transformations
