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dc.coverage.spatialComputer Engineeringen_US
dc.description.abstractThere has been an extensive demand in the use of databases for decision support in these days. This was mainly due to the fact that information, one of the most precious assets of an organization, can assist in decision making and this way considerably improves the value of an organization. This phenomenon is a result of the increased availability of new technologies to support capable storage and retrieval of large volumes of data, namely data warehousing. Thus, we could define data warehouse as a repository of data that has been extracted and integrated from heterogeneous and autonomous distributed sources [Kimball96]. Data warehouses usually contain a huge amount of data that must be analyzed and, provide that analysis, helping in the organizational decision making process. The success of this kind of support depends greatly on database systems and correlated analysis tools. Data warehouses differ significantly from the traditional database applications. Data warehouses provide a different context in which huge amounts of data must be processed efficiently and queries are often complex, but still require interactive response times. In data warehouse environments the data is used for decision support and large sets of data are read and analyzed. One of the most important requirements of a data warehouse server is the query performance. The principal aspect from the user perspective is how quickly the server processes a given query: the data warehouse must be fast . The main focus of our research is finding adequate solutions to improve query response time of typical data ware house queries and improve scalability using an environment that takes advantage of characteristics specific to the data ware house context. Our propose model provides very good performance and scalability even on huge data warehouses.en_US
dc.titlePerformance tuning stratgies for data warehouse: a division of Rajasthan stateen_US
dc.creator.researcherGoar, Vishal Kumaren_US
dc.subject.keywordComputer Scienceen_US
dc.subject.keywordPerformance tuning stratgiesen_US
dc.subject.keyworddata warehouseen_US
dc.description.noteBibliography p.243-271en_US
dc.contributor.guideSarangdevot, S Sen_US
dc.contributor.guideTanwar, Manish-
dc.publisher.universitySuresh Gyan Vihar Universityen_US
dc.publisher.institutionDepartment of Computer Scienceen_US
Appears in Departments:Department of Computer Science

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02_acknowledgement.pdf83.29 kBAdobe PDFView/Open
03_thesis approval.pdf82.73 kBAdobe PDFView/Open
04_contents.pdf153.01 kBAdobe PDFView/Open
05_list of figures.pdf97.62 kBAdobe PDFView/Open
06_list of abbreviations.pdf100.61 kBAdobe PDFView/Open
07_abstract.pdf102.47 kBAdobe PDFView/Open
08_nehruji.pdf128.48 kBAdobe PDFView/Open
09_chapter 1.pdf405.87 kBAdobe PDFView/Open
10_chapter 2.pdf519.8 kBAdobe PDFView/Open
11_chapter 3.pdf374.97 kBAdobe PDFView/Open
12_chapter 4.pdf869.48 kBAdobe PDFView/Open
13_chapter 5.pdf138.84 kBAdobe PDFView/Open
14_chapter 6.pdf44.68 kBAdobe PDFView/Open
15_bibliography.pdf318.1 kBAdobe PDFView/Open
16_publications.pdf112.34 kBAdobe PDFView/Open

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