Analytics-as-a-service: confluence of big data, cloud computing and software-as-a-service

Authors:
P. Martin;F. Zulkernine;S. Khalifa;A. Eftekhari;B. Ashtiani;D. Rope;M. McRoberts;C. Statchuk
Affiliations:
Queen's University, Kingston, ON;Queen's University, Kingston, ON and IBM Canada Ltd., Markham, ON;Queen's University, Kingston, ON;Queen's University, Kingston, ON;IBM Canada Software Laboratory, Markham, ON;IBM Corporation, Armonk, New York;IBM Corporation, Armonk, New York;IBM Canada Ltd., Markham, ON
Venue:
CASCON '13 Proceedings of the 2013 Conference of the Center for Advanced Studies on Collaborative Research
Year:
2013

Citing 6
Cited 0

Hadoop: The Definitive Guide

Hadoop: The Definitive Guide
Analytics Ecosystem Transformation: A Force for Business Model Innovation

SRII '11 Proceedings of the 2011 Annual SRII Global Conference
SP 800-145. The NIST Definition of Cloud Computing

SP 800-145. The NIST Definition of Cloud Computing
Optimization of analytic data flows for next generation business intelligence applications

TPCTC'11 Proceedings of the Third TPC Technology conference on Topics in Performance Evaluation, Measurement and Characterization
Business leadership through analytics

IBM Journal of Research and Development
Clouds for Scalable Big Data Analytics

Computer

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper examines Analytics-as-a-Service as a confluence of Big Data, Cloud Computing and Software-as-a-Service. It states the challenges in developing the technology and sets a research agenda for the work.