EFFICIENT COMPUTING OF OLAP IN BIG DATA WAREHOUSE
Main Article Content
Abstract
Downloads
Article Details
COPYRIGHT
Submission of a manuscript implies: that the work described has not been published before, that it is not under consideration for publication elsewhere; that if and when the manuscript is accepted for publication, the authors agree to automatic transfer of the copyright to the publisher.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work
- The journal allows the author(s) to retain publishing rights without restrictions.
- The journal allows the author(s) to hold the copyright without restrictions.
References
J. Song, C. Guo, Z. Wang, Y. Zhang, G. Yu, and J.-M. Pierson, “HaoLap: A Hadoop based OLAP system for big data,†Journal of Systems and Software, vol. 102, pp. 167–181, Apr. 2015.
J. A. Patel and P. Sharma, “Big data for better health planning,†in Advances in Engineering and Technology Research (ICAETR), 2014 International Conference on, 2014, pp. 1–5.
Blanco, I. GarcÃa-RodrÃguez de Guzmán, E. Fernández-Medina, and J. Trujillo, “An architecture for automatically developing secure OLAP applications from models,†Information and Software Technology, vol. 59, pp. 1–16, Mar. 2015
D.-H. Shin and M. J. Choi, “Ecological views of big data: Perspectives and issues,†Telematics and Informatics, vol. 32, no. 2, pp. 311–320, May 2015.
J. Patel and P. Sharma, “Decision Support System in Diabetes Disease with Providing Health Care Services,†2015.
Avita katal,Mohammad wazid,R H Goudar," Big data:, Issues,Challenges,Tools and Good practices" IEEE 2013.
J. Li, L. Meng, F. Z. Wang, W. Zhang, and Y. Cai, “A Map-Reduce-enabled SOLAP cube for large-scale remotely sensed data aggregation,†Computers & Geosciences, vol. 70, pp. 110–119, Sep. 2014.
A. Cuzzocrea, L. Bellatreche, and I.-Y. Song, “Data warehousing and OLAP over big data: current challenges and future research directions,†in Proceedings of the sixteenth international workshop on Data warehousing and OLAP, 2013, pp. 67–70.
Xin Cheng,Chungjin Hu,Yang Li, Wei Lin, Haolei Zuo., "Data Evolution of virtual dataspace for managing the big data lifecycle ",IEEE 2013
S. Mansmann, N. Ur Rehman, A. Weiler, and M. H. Scholl, “Discovering OLAP dimensions in semi-structured data,†Information Systems, vol. 44, pp. 120–133, Aug. 2014.
Big data survey research brief ,2013, www.sas.com/resources/whitepaper/wp_58466.pdf