Part 3: Building a foundational data model with dbt

More and more companies are moving from a world of integrated analytics to a modular approach of leveraging best-of-breed tools for each layer in the data stack. This approach offers a range of benefits but also brings a new challenge: lots of raw data from a plethora of sources that doesn’t bring any value in and of itself.

Enter data modeling. In this 4 part series, Cara will take you on a journey, exploring data modeling in detail and provide you with concrete examples that you can leverage within your business.

Part 3: Building a foundational data model with dbt

In this session Cara will be joined by Jeremy Cohen, Product Manager at dbt. Using Snowplow data, they’ll dive into what building a data model with dbt looks like and how you can drive insights from it. Specifically they’ll cover:

• The setup, running and testing of the Snowplow dbt package
• Extending the package to incorporate a custom use case
• Showcase the output of the package and the insights it delivers