entropy store interrogatory Practical Approach entropy Warehouse mental testifyinging Practical Approach Creator:-Manoj Tiwari set : Agenda: * Date store comment * Challenges of data storage warehouse test * test Goal * interrogation methodology * test Types * Test Stop Criteria chute 3 : Date warehouse Definition:- A information warehouse is a national oriented, integrated, m variant, non volatile collection of data in incarnate of managements stopping point making address. sheer 4 : Challenges of Data warehouse Testing: * Data selection from ten-fold source systems and abstract that follows pose great challenge. * Volume and the complexity of the data. * Inconsistent and superfluous data in a data warehouse. * Loss of data during the ETL process. * Non-Availability of comprehensive test bed * faultfinding Data for Business. sloping trough 5 : Testing Goal: Our of import aim is to infract the quality of that data. * Data completeness. Ensures that all judge data is loaded. * Data transformation. Ensures that all data is transformed powerful according to product line rules and/or design specifications. * Data quality. Ensures that the ETL application correctly rejects, substitutes oversight values, corrects or ignores and reports invalid data.
Slide 6 : Testing Methodology : To perform testing recrudesce * Use of Traceability matrix to change full test reporting of Business Requirements. * In sagacity review of Test Cases. * utilisation of Te st Data to go over full test coverage. ! * Provision of appropriate tools to speed the process of Test feat & Evaluation. * Regression Testing Slide 7 : Testing Types: The following are types of Testing performed for Data computer reposition projects. i. Unit Testing ii. Integration Testing iii. Technical shakedown Testing iv. System Testing v. Operation readiness Testing vi. User Acceptance Testing vii. Regression Testing Slide 8 :...If you want to get a full essay, localise it on our website: BestEssayCheap.com
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