What is automated testing in data pipelines?
An example of an AI chatbot conversation about automated testing in data pipelines.
What is automated testing in data pipelines?
Automated testing in data pipelines involves using scripts and tools to verify data integrity and processing automatically.
Why is it important for data quality?
It's crucial because it helps catch errors early, ensures data accuracy, and maintains trust in data-driven decisions.
What tools are commonly used for this?
Common tools include Apache Airflow, Great Expectations, and dbt, which help automate and validate data workflows.
Can you give an example of a test case?
Sure! A test case could check if the data in a target table matches the expected schema and data types after a transformation.
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