The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Data Warehouse With OLAP Technology for the Tourism Industry
|
Author(s): Preetvanti Singh (Dayalbagh Educational Institute, India)and Vijai Dev (Dayalbagh Educational Institute, India)
Copyright: 2023
Pages: 21
Source title:
Encyclopedia of Data Science and Machine Learning
Source Author(s)/Editor(s): John Wang (Montclair State University, USA)
DOI: 10.4018/978-1-7998-9220-5.ch012
Purchase
|
Abstract
In today's data-driven world, analysts and decision makers deal with an enormous amount of data, which is collected and stored on a daily basis coming from different sources. The main focus of this article is to provide an overview of data warehouse and OLAP technologies to deal with this multidimensional data. In order to show the real-life application of data warehouse and OLAP technology, the article presents the development of tourism data warehouse as the tourism industry deals with multidimensional data like tourist, hospitality, and tourist products. This article will be helpful for the decision makers to generate multidimensional reports that will show the information according to their needs and requirements.
Related Content
Princy Pappachan, Sreerakuvandana, Mosiur Rahaman.
© 2024.
26 pages.
|
Winfred Yaokumah, Charity Y. M. Baidoo, Ebenezer Owusu.
© 2024.
23 pages.
|
Mario Casillo, Francesco Colace, Brij B. Gupta, Francesco Marongiu, Domenico Santaniello.
© 2024.
25 pages.
|
Suchismita Satapathy.
© 2024.
19 pages.
|
Xinyi Gao, Minh Nguyen, Wei Qi Yan.
© 2024.
13 pages.
|
Mario Casillo, Francesco Colace, Brij B. Gupta, Angelo Lorusso, Domenico Santaniello, Carmine Valentino.
© 2024.
30 pages.
|
Pratyay Das, Amit Kumar Shankar, Ahona Ghosh, Sriparna Saha.
© 2024.
32 pages.
|
|
|