Protecting sensitive data with data masking in dbt cloud and Databricks

When working with sensitive data one might want to set policies to ensure that not everyone is able to read it. Masking your data is a method through which you can still let people work with datasets but not let them see all of the true values. We will share how NIBC and Xebia have implemented masking using dbt Cloud and Databricks to protect their sensitive data.