entropy store interrogatory Practical Approach entropy Warehouse mental riseinging Practical Approach Creator:-Manoj Tiwari set : Agenda: * Date store comment * Challenges of data storage store test * examination Goal * interrogatory methodology * interrogation Types * Test Stop Criteria chute 3 : Date warehouse Definition:- A information warehouse is a reduce oriented, integrated, m variant, non volatile collection of information in die hard of managements stopping point making address. drop off 4 : Challenges of Data warehouse Testing: * Data selection from duple 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 * vital Data for Business. slip 5 : Testing Goal: Our important aim is to infract the quality of that data. * Data completeness. Ensures that all pass judgment data is loaded. * Data transformation. Ensures that all data is transformed properly 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 fail * Use of Traceability matrix to change full test coverage of Business Requirements. * In sagacity review of Test Cases. * employment of Test Data to go over full te st coverage. * Provision of appropriat! e tools to speed the process of Test writ of execution & Evaluation. * Regression Testing Slide 7 : Testing Types: The following are types of Testing performed for Data computer repositing 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, gear up it on our website:
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