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dc.rights.licenseAll rights reserveden_US
dc.contributor.advisorRamírez, Juan
dc.contributor.authorSierra, Ángel A.
dc.date.accessioned2020-10-15T12:25:28Z
dc.date.available2020-10-15T12:25:28Z
dc.date.issued2013
dc.identifier.citationSierra, A. N. (2013). Business intelligence performance optimization [Unpublished manuscript]. Graduate School, Polytechnic University of Puerto Rico.en_US
dc.identifier.urihttp://hdl.handle.net/20.500.12475/855
dc.descriptionDesign Project Article for the Graduate Programs at Polytechnic University of Puerto Ricoen_US
dc.description.abstractWhat happens when you are the Business Intelligence (BI) developer and you need to find a solution for an Analysis Service Job execution that takes more than 20 hours to process over 1.3 terra-bytes of data? This project will presents an atypical scenario for a business solution. In a typical scenario many introductory books, papers or tutorials presents a random company that uses a web site to sell their products such as “Adventure Works”. Adventure works is a company invented by Microsoft where they present a database that they use to teach many concepts, including Business Intelligence. In this project we have a Business Intelligence solution already deployed in a production environment, but the database administrators are reporting performance issues running the data processing to maintain this solution up to date. I will be examining this solution to assess where exactly the problem is and provide a new solution that is capable to improve processing performance. Key Terms - Analysis Services, Business Intelligence, Cube, Data Warehouse, Optimization, Performanceen_US
dc.language.isoen_USen_US
dc.publisherPolytechnic University of Puerto Ricoen_US
dc.relation.ispartofComputer Science;
dc.relation.ispartofseriesWinter-2013;
dc.relation.haspartSan Juanen_US
dc.subject.lcshBusiness intelligence
dc.subject.lcshDatabase management
dc.subject.lcshPolytechnic University of Puerto Rico--Graduate students--Research
dc.titleBusiness Intelligence Performance Optimizationen_US
dc.typeArticleen_US
dc.rights.holderPolytechnic University of Puerto Rico, Graduate Schoolen_US


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