A Descriptive Approach towards Data Warehouse and OLAP Technology: An overview
Abstract
Data warehousing and on-line analytical processing (OLAP) are essential elements of decision support, which has increasingly become a focus of the database industry. Data warehouses support business decisions by collecting, consolidating, and organizing data for reporting and analysis with tools such as online analytical processing (OLAP) and data mining. In this paper address approaches and choices to be considered when designing and implementing a data warehouse. The paper begins by contrasting data warehouse databases with OLTP databases, introducing OLAP and then adds information about design issues.
Recommended Citation
A. S. Tripathy and K. Das, "A Descriptive Approach towards Data Warehouse and OLAP Technology: An overview," Communications in Computer and Information Science, vol. 142 CCIS, pp. 409 - 411, Springer-Verlag, Mar 2011.
The definitive version is available at https://doi.org/10.1007/978-3-642-19542-6_76
Meeting Name
2nd International Conference on Advances in Communication, Network, and Computing, CNC 2011 (2011: Feb. 23-24, Bangalore, India)
Department(s)
Computer Science
Keywords and Phrases
Data Warehouse; Dimension; OLAP; Schema
International Standard Book Number (ISBN)
978-364219541-9
International Standard Serial Number (ISSN)
1865-0929
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2011 Association of Computer Electronics and Electrical Engineers (ACEEE), All rights reserved.
Publication Date
29 Mar 2011
