Table of Contents

  1. Data transformation
  2. Data testing
  3. Implementations + deployment
  4. Documentation + metadata
  5. The modern data stack
  6. Data dream teams

Auditing model layers and modularity with your DAG

Christine has been diligently helping organizations improve their workflows for the past several months. If she’s not learning something new, she’s probably tinkering with a project or curled up somewhere warm.

In a world where creating new models in as easy as creating new files, and creating links betwen those models is as easy as typing `ref`, DAGs can get... pretty unwieldy! In this session, we'll learn how to apply the concepts of layering and modularity to your dbt project, all with a fun kitchen metaphor to keep things fresh!

Browse this talk’s Slack archives #

The day-of-talk conversation is archived here in dbt Community Slack.

Not a member of the dbt Community yet? You can join here to view the Coalesce chat archives.

Last modified on: Apr 19, 2022