Using dbt Built-in Tests for Data Quality
📖 Scenario: You work as a data analyst for an online store. You want to make sure your sales data is clean and reliable before using it for reports. You will use dbt built-in tests to check your data quality.
🎯 Goal: Learn how to apply dbt built-in tests: unique, not_null, accepted_values, and relationships to a sales data model.
📋 What You'll Learn
Create a dbt model with sales data
Add a
unique test on order_idAdd a
not_null test on customer_idAdd an
accepted_values test on order_statusAdd a
relationships test between customer_id in sales and customers table💡 Why This Matters
🌍 Real World
Data analysts and engineers use dbt tests to catch data errors early and maintain trust in reports.
💼 Career
Knowing dbt built-in tests is essential for roles involving data modeling, data quality, and analytics engineering.
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