Data modeling is key to leveraging your user behavioral data to serve many data use cases across your business, such as marketing attribution, product analytics, or recommendations. However, this type of data scale poses challenges to modeling it effectively.
This talk will explore the common challenges companies face when modeling hundreds of millions or even billions of events, and how to solve them. We'll discuss the differences between the cloud data warehouses as well as instrumentalization, performance tuning, and testing.
Join the chat in the #coalesce-snowplow channel (https://bit.ly/3ilz0d9). If you’re not yet a member of dbt Community Slack, sign up at https://www.getdbt.com/community/join-the-community
Want to sponsor this event? contact us.