alexa Big Data Hadoop for Cloud-Based Enterprise Collaboratio
ISSN: 2162-6359

International Journal of Economics & Management Sciences
Open Access

OMICS International organises 3000+ Global Conferenceseries Events every year across USA, Europe & Asia with support from 1000 more scientific Societies and Publishes 700+ Open Access Journals which contains over 50000 eminent personalities, reputed scientists as editorial board members.

Open Access Journals gaining more Readers and Citations

700 Journals and 15,000,000 Readers Each Journal is getting 25,000+ Readers

This Readership is 10 times more when compared to other Subscription Journals (Source: Google Analytics)

Opinion Article

Big Data Hadoop for Cloud-Based Enterprise Collaboration Systems

Hsiao-Kang Lin and Chun-I Chen*

Department of Industrial Management, I-Shou University, Kaohsiung, Taiwan ROC

*Corresponding Author:
Chun-I Chen
Department of Industrial Management
I-Shou University, Kaohsiung, Taiwan, China
Tel: 886-7-6577711
E-mail: [email protected]

Received date: November 23, 2015; Accepted date: November 24, 2015; Published date: November 28, 2015

Citation: Lin HK, Chen CI (2015) Big Data Hadoop for Cloud-Based Enterprise Collaboration Systems. Int J Econ Manag Sci 4:300. doi:10.4172/2162-6359.1000300

Copyright: © 2015 Lin HK, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

 

Abstract

With the growing popularity of cloud computing, enterprises are turning their collaboration platforms towards Software as a Service (SaaS) applications over the Internet. Companies hosting cloud-computing services face the challenges of multi-dimensional information and knowledge from a variety of distributed sources. Semantic web technologies provide the solution to semantic interoperability of heterogeneous data. In addition, the NoSQL Hadoop database (HBase) is being adopted dramatically on the cloud for semantic data integration. This paper investigates a Hadoop Database (HBase) approach for semantic web information representation across distributed and collaborative enterprises systems.

Keywords

Share This Page

Additional Info

Loading
Loading Please wait..
 
Peer Reviewed Journals
 
Make the best use of Scientific Research and information from our 700 + peer reviewed, Open Access Journals
International Conferences 2017-18
 
Meet Inspiring Speakers and Experts at our 3000+ Global Annual Meetings

Contact Us

 
© 2008-2017 OMICS International - Open Access Publisher. Best viewed in Mozilla Firefox | Google Chrome | Above IE 7.0 version
adwords