Jonathan Mak of Nearmap says, "We use dbt not just for data transformation but also data movement in/out of Snowflake. This makes dbt more akin to a generic scheduling and orchestration tool to us and it lives at the centre of our data pipeline. I'd like to discuss in this video why we do it this way, the pros and the cons and may also touch on our migration to Snowflake a while ago which allowed us to use dbt this way.

You probably have customer data in your data warehouse — it's a must-have for understanding a business.

This data very likely includes personally identifiable information (PII) which shouldn't be shared with the entire organization.

How do you protect that data and make sure only authorized employees can see that sensitive information?

In this video, you'll learn from Ashley Van Name how JetBlue approaches data protection, particularly the problem of masking PII at scale by leveraging Snowflake's data masking features straight from their dbt project.

Learn more about dbt at: https://getdbt.com https://twitter.com/getdbt

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