Paper Title
A Survey on Efficient Data Cube Computation Methodologies for Business Intelligence
Article Identifiers
Authors
Miss. Vaidya Vijayshri Dattatray , Mr. Nibe Abhishek Annasaheb
Keywords
business intelligence, data warehouse, multidimensional data cubes, cuboids, materialization
Abstract
Business Intelligence field [4] provides the solutions for multidimensional analysis using large amount of data from data warehouse. To make the decisions from the raw data available in data warehouse may take huge time. So to make interactive analysis from huge data, multidimensional data cubes can be used. The data cube contains the cells (cuboids) which are aggregation of the data. To access the whole data every time for analysis is too expensive. In this paper we can study different materialization techniques [6] which can compute the data cells at once only. So no need to access whole data, instead one can use these precomputed data cells (cuboids). For efficient data cube computation,[2][5] materialization can starts from base cuboid to apex (target) cuboid in such a way that intermediate cuboids takes less time and space to generate. In materialization we can compute all cuboids or specific cuboids required for analysis purpose.
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How To Cite (APA)
Miss. Vaidya Vijayshri Dattatray & Mr. Nibe Abhishek Annasaheb (May-2023). A Survey on Efficient Data Cube Computation Methodologies for Business Intelligence. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(5), i351-i354. https://ijnrd.org/papers/IJNRD2305846.pdf
Issue
Volume 8 Issue 5, May-2023
Pages : i351-i354
Other Publication Details
Paper Reg. ID: IJNRD_197170
Published Paper Id: IJNRD2305846
Downloads: 000121977
Research Area: Engineering
Country: Ahmednagar, Maharashtra, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2305846.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2305846
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