Add dbt column tests
Previously, when you built out the staging models, your work was focused on properly documenting column descriptions for each staging model. The same yaml file used to document column descriptions has another use: to add dbt data tests.
Data tests are used to guardrail against data drift on granularity and data quality, acting as an early warning system. The four out-of-the-box data tests are: unique
, not_null
, accepted_values
, and relationships
.
In this exercise, you will get hands-on practice for applying three out of these four tests.
This exercise is part of the course
Case Study: Building E-Commerce Data Models with dbt
Hands-on interactive exercise
Turn theory into action with one of our interactive exercises
