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Data Modeling Techniques Used for Big Data in Enterprise Networks

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Omollo_Data modeling techniques used for big data in enterprise networks.pdf (638.1Kb)
Publication Date
2020-04-20
Author
Omollo, Richard
Alago, Sabina
Type
Article
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Abstract/Overview

The deployment and maintenance of enterprise networks form the bedrock of any organization, be it government, commercial, academic, and/or non-profit making. These networks host vast amounts of information, databases, in either temporary mode while in transit or permanent mode while stationary. The databases are managed by the information systems with appropriate functions that meet consumers’ needs. Databases hold varying data – structured, semi structured, or unstructured. Data is increasingly becoming a vital organizational asset and therefore plays a crucial role in making organizational decisions. With growth in the internet, digital data sources have become ubiquitous. In turn, this has seen the continued growth in the volume, variety, veracity, velocity, and value of data. Big data brings with its data complexities that have an eventual impact on the data modeling techniques. This paper presents a review of big data modeling techniques with a concentration of enterprise networks. We started by appreciating big data before embarking on modeling techniques for big data.

Subject/Keywords
Keywords Data; Model; Modeling techniques; Big data; Enterprise networks; Databases
Publisher
International Journal of Advanced Technology and Engineering Exploration
ISSN
2394-5443 (Print); 2394-7454 (online)
Permalink
http://ir.jooust.ac.ke:8080/xmlui/handle/123456789/9270
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