Learn how a rapidly growing software development firm transformed their legacy data analytics approach by embracing analytics engineering with dbt and Looker. In this video, Johnathan Brooks of 4 Mile Analytics outlines the complementary benefits of these tools and discusses design patterns and analytics engineering principles that enable strong data governance, increased agility and scalability, while decreasing maintenance overhead.

Using dbt's metadata on dbt runs (run_results.json) Drizly analytics is able to track, monitor, and alert on its dbt models using Looker to visualize the data. In this video, Emily Hawkins covers how Drizly did this before, using dbt macros and inserts, and how the process was improved using run_results.json in conjunction with Dagster (and teamwork with Fishtown Analytics!)