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

Learn more about Fishtown Analytics at: https://fishtownanalytics.com https://twitter.com/fishtowndata https://www.linkedin.com/company/fishtown-analytics/

What does a data-driven airline look like? How does a data-driven airline behave and treat customers?

JetBlue believes a data-driven airline should: - Offer personalized customer interactions - Predict delays and other "irregular" operations - Enable all analysts to easily access a variety of data sources - Study and monitor operations in real-time to make smarter decisions

The big question is... how does an airline become more data driven?

In this video, Ashley Van Name shares how a small team of data engineers at JetBlue successfully migrated their entire data warehouse workload to dbt and shares tips for setting yourself up for success with dbt.

Fun fact about JetBlue's dbt project — they have 1800 data models, on top of 280 data sources, have defined 8500 tests and they built their entire dbt project in six months!

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

Learn more about Fishtown Analytics at: https://fishtownanalytics.com https://twitter.com/fishtowndata https://www.linkedin.com/company/fishtown-analytics/