Data mesh is a popular approach to organizing data products and teams within large organisations using the principles of domain-oriented data, federated governance and self-service.
In this hands-on lab, we will show how dbt Cloud can powerfully leverage Snowflake’s data mesh features so organisations can efficiently adopt these principles. Join to learn how dbt Cloud on Snowflake enables data teams to deliver high-quality data products faster, and allows platform teams to govern the mesh and validate product compliance – all while making data products discoverable and available so they can be readily used by people who have the proper permissions.
Experts will cover how to:
- Create Snowflake resources with a least privileged access principle
- Set up dbt Cloud with two projects that relate to each other
- Add dbt models to build core datasets in Snowflake
- Add data masking with Snowflake, applied with dbt Cloud
- Create model contracts in dbt that govern the data used by other teams
- Execute the SQL code on Snowflake with dbt Cloud jobs
- Used dbt Explorer in order to explore data assets that were created by dbt
In Partnership with:
