The quality of a data warehouse (DWH) is the elusive aspect of it, not because it is hard to achieve [once we agree what it is], but because it is difficult to describe. We propose the notion that quality is not an attribute or a feature that a product has to possess, but rather a relationship between that product and each and every stakeholder. More specifically, the relationship between the software quality and the organization that produces the products is explored. Quality of data that populates the DWH is the main concern of the book, therefore we propose a definition for data quality as: qfitness to serve each and every purposeq. Methods are proposed throughout the book to help readers achieve data warehouse quality.By creating test scripts once, automated testing allows reuse for future versions. - Regression testing. Each time a change is made to data or business rules, testers using a manual approach have to go through each function and make sure itanbsp;...
|Title||:||Testing the Data Warehouse Practicum|
|Author||:||Doug Vucevic, Wayne Yaddow|
|Publisher||:||Trafford Publishing - 2012-08|