Skip to Main Content


  • 6:00pm Check in/Registration
  • 6:30 Welcome Remarks
  • 6:45 – 7:15 Talk #1 + Q&A
  • 7:15 – 7:45 Talk #2 + Q&A
  • 7:45 – 8:00 Final panel questions & Closing remarks
  • 8:00 – 9:00pm Reception & Networking (socializing, light food and refreshments)

Register now

Speaker Lineup:

Data Mesh with dbt – by Ruth Onyekwe

We’ll discuss the latest dbt cloud features making developer teams’ lives that much easier. Learn what Data Mesh looks like for dbt users.

Data Modernization for international jewelry brand Tous: Migrating to cloud – by Xavier Martin Ferrer

Discover how dbt helped Tous to transform siloed data from SAP (sales and stocks) and their CRM into a data model accessible by teams across the organization.

Should we build this in Looker or dbt? – Sarah Levy, Co-Founder & CEO of Euno

Despite dbt’s game changing impact on data modeling, issues like misused documentation, duplicate metrics, and siloed logic continue to hinder a unified source of truth. This talk proposes a ‘reverse flow’ approach, automating the integration of business logic crafted by analysts within Looker into dbt, and answering: When do data teams use Looker and when do they use dbt? What are 3 overlooked challenges of scaling dbt when most analysts use Looker? What’s the best way to govern business logic with Looker and DBT?

Keep up with event updates on the Meetup page