Article
Hadoop as Big Data Operating System – The Emerging Approach for Managing Challenges of Enterprise Big Data Platform
Proceedings of the IEEE First International Conference on Big Data Computing Service and Applications (BigDataService)
(2015)
Abstract
Over last few years, innovation in Hadoop and other related Big Data technologies in last few years brings on to the table a lot of promises around better management of enterprise data at much lesser cost and with high value business benefits. In this paper, we propose to delve into details of these challenges from practitioners' perspective based on lessons learnt from various Big Data implementation scenarios. We also aim to discuss the emerging concept of Hadoop as Big Data Operating System to address these challenges with a holistic proposition. Finally, we also plan to provide a prescriptive approach based on best practices which can help moving towards the vision of Enterprise Big Data Platform using Hadoop as Data Operating System balancing between short term objectives and long term goals of managing and maintaining Enterprise Big Data Platform.
Keywords
- Hadoop,
- Big Data
Disciplines
Publication Date
2015
DOI
10.1109/BigDataService.2015.72
Publisher Statement
This paper was presented at the 2015 IEEE First International Conference on Big Data Computing Service and Applications (BigDataService) in Redwood City, CA.
Citation Information
Sourav Mazumdar and Subhankar Dhar. "Hadoop as Big Data Operating System – The Emerging Approach for Managing Challenges of Enterprise Big Data Platform" Proceedings of the IEEE First International Conference on Big Data Computing Service and Applications (BigDataService) (2015) p. 499 - 505 Available at: http://works.bepress.com/subhankar_dhar/47/