Journal article
Big data technologies and Management: What conceptual modeling can do
Data & knowledge engineering, v 108, pp 50-67
01 Mar 2017
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.
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Details
- Title
- Big data technologies and Management: What conceptual modeling can do
- Creators
- Veda C. Storey - J. Mack Robinson College of BusinessIl-Yeol Song - Drexel University
- Publication Details
- Data & knowledge engineering, v 108, pp 50-67
- Publisher
- Elsevier
- Number of pages
- 18
- Grant note
- Drexel University J. Mack Robinson College of Business, Georgia State University
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Information Science
- Web of Science ID
- WOS:000399849000004
- Scopus ID
- 2-s2.0-85014748648
- Other Identifier
- 991019168794204721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Computer Science, Artificial Intelligence
- Computer Science, Information Systems