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ETL Testing
ETL (Extract, Transform, Load) testing is crucial for ensuring data accuracy and reliability in business intelligence environments. It validates data movement from source systems to the destination data warehouse, ensuring accuracy, transformation, and efficient loading. ETL testing involves extracting data from sources, cleansing, aggregating, and reformatting it according to business rules. Challenges include dealing with complex data types and large volumes. Effective ETL testing strategies combine manual checks and automated tests, reducing the time and cost associated with manual testing.
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