Drizly is growing rapidly, building a three-sided business that depends on data at every turn. They have roughly a 10-person data team responsible for building infrastructure and data sets that will soon support over 200 Looker users.
Learn how data teams are using Looker and dbt to help analysts deliver results faster. You’ll get a deep dive into Drizly’s process and how they choose what to model in dbt vs Looker and the ways the tools become stronger together.
Key Takeaways:
- Synergies between dbt and LookML
- Looker vs dbt best practices and common use cases from 150+ organizations using them in tandem
- How Drizly increased data usage with Looker and dbt stack
