Welcome to the InfoSci Platform
A Service-Oriented Foundation for Big Data

A Service-Oriented Foundation for Big Data

Zhaohao Sun
Copyright: © 2020 |Volume: 10 |Issue: 1 |Pages: 17
ISSN: 1947-3052|EISSN: 1947-3060|EISBN13: 9781799806790|DOI: 10.4018/IJSSOE.2020010101
Cite Article Cite Article

MLA

Sun, Zhaohao. "A Service-Oriented Foundation for Big Data." IJSSOE vol.10, no.1 2020: pp.1-17. http://doi.org/10.4018/IJSSOE.2020010101

APA

Sun, Z. (2020). A Service-Oriented Foundation for Big Data. International Journal of Systems and Service-Oriented Engineering (IJSSOE), 10(1), 1-17. http://doi.org/10.4018/IJSSOE.2020010101

Chicago

Sun, Zhaohao. "A Service-Oriented Foundation for Big Data," International Journal of Systems and Service-Oriented Engineering (IJSSOE) 10, no.1: 1-17. http://doi.org/10.4018/IJSSOE.2020010101

Export Reference

Mendeley
Favorite Full-Issue Download

Abstract

This paper provides a service-oriented foundation for big data. The foundation has two parts. Part 1 reveals 10 big characteristics of big data. Part 2 presents a service-oriented framework for big data. The framework has fundamental, technological, and socio-economic levels. The fundamental level has four big fundamental characteristics of big data: big volume, big velocity, big variety, and big veracity. The technological level consists of three big technological characteristics of big data: Big intelligence, big analytics, big infrastructure. The socioeconomic level has three big socioeconomic characteristics of big data: big service, big value, and big market. The article looks at each level of the proposed framework from a service-oriented perspective. The multi-level framework will help organizations and researchers understand how the 10 big characteristics relate to big opportunities, big challenges, and big impacts arising from big data. The proposed approach in this paper might facilitate the research and development of big data, big data analytics, business intelligence, and business analytics.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.