Big data technologies and Management: What conceptual modeling can do

240Citations
Citations of this article
528Readers
Mendeley users who have this article in their library.
Get full text

Abstract

The era of big data has resulted in the development and applications of technologies and methods aimed at effectively using massive amounts of data to support decision-making and knowledge discovery activities. In this paper, the five Vs of big data, volume, velocity, variety, veracity, and value, are reviewed, as well as new technologies, including NoSQL databases that have emerged to accommodate the needs of big data initiatives. The role of conceptual modeling for big data is then analyzed and suggestions made for effective conceptual modeling efforts with respect to big data.

Cite

CITATION STYLE

APA

Storey, V. C., & Song, I. Y. (2017). Big data technologies and Management: What conceptual modeling can do. Data and Knowledge Engineering, 108, 50–67. https://doi.org/10.1016/j.datak.2017.01.001

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free