Businesses are increasingly focusing on the collection and organization of data for strategic decision-making. The ability to review historical trends and monitor near real-time operational data has become a key competitive advantage.

This article provides practical recommendations for testing extract, transform and load (ETL) applications based on years of experience testing data warehouses in the financial services and consumer retailing areas. Every attempt has been made to keep this article tool-agnostic so as to be applicable to any organization attempting to build or improve on an existing data warehouse.

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