New: Cookbooks and AI ExplanationsStep-by-Step recipes to solve problems connected to Roadmaps and Cheat Sheets. Need more details? Use AI buttons for structured and simple explanations with concrete examples throughout the whole platform.Take a look
Analysts need the order data, and nobody wants raw customer emails sitting in a table everyone can query.
What you'll have at the end
A loaded table where raw emails and phone numbers are replaced by masked values, joins across other tables on the same email still work, and only a locked-down lookup returns the real value.
You need
A shared table that already loads real customer emails and phone numbers next to order data, and write access to the transform step that builds it.
Not covered
Building a scanner that finds every sensitive column across a whole warehouse; this recipe scopes a masking rule to one shared table whose sensitive columns you already know.
Leans on
Checked 25 Aug 2026
Part of the ETL (Extract, Transform, Load) cookbook