Securing data at scale with dbt & Snowflake
Daniel Poppy
Last edited on Oct 21, 2024
You probably have customer data in your data warehouse — it's a must-have for understanding a business. However, this data almost definitely includes personally identifiable information (PII), which shouldn't be shared with the entire organization. In this session, we'll learn how JetBlue approaches the problem of masking PII at scale by leveraging some Snowflake features straight from their dbt project.
Get started in dbt
Join the analytics engineers building data infrastructure that actually scales.
Install dbt Wizard CLI
Get started with an agent purpose-built for analytics engineering. It knows which tool to call, which context to pull, and checks its own work before surfacing anything to you.
