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In a world where creating new models in as easy as creating new files, and creating links between those models is as easy as typing ref, a directed acyclic graph (DAG) can get pretty unwieldy!

A complex DAG makes it difficult to understand the upstream and downstream dependencies of a particular table.

The goal is to create a modular data model using staging models (base_, stg_) and marts models (int_, dim_, fct_).

In this video, Christine Berger of Fishtown Analytics will teach you how to apply the concepts of layering and modularity to your dbt project, all with a fun kitchen metaphor to keep things fresh!

Learn more about dbt at: https://getdbt.com https://twitter.com/getdbt

Learn more about Fishtown Analytics at: https://fishtownanalytics.com https://twitter.com/fishtowndata https://www.linkedin.com/company/fishtown-analytics/