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The Data Swarm: A Next Step for Distributed Data Analytics

The Data Swarm: A Next Step for Distributed Data Analytics

Jeffrey Smith, Manjeet Rege
Copyright: © 2016 |Volume: 6 |Issue: 1 |Pages: 13
ISSN: 2155-6377|EISSN: 2155-6385|EISBN13: 9781466692480|DOI: 10.4018/IJIRR.2016010104
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MLA

Smith, Jeffrey, and Manjeet Rege. "The Data Swarm: A Next Step for Distributed Data Analytics." IJIRR vol.6, no.1 2016: pp.52-64. http://doi.org/10.4018/IJIRR.2016010104

APA

Smith, J. & Rege, M. (2016). The Data Swarm: A Next Step for Distributed Data Analytics. International Journal of Information Retrieval Research (IJIRR), 6(1), 52-64. http://doi.org/10.4018/IJIRR.2016010104

Chicago

Smith, Jeffrey, and Manjeet Rege. "The Data Swarm: A Next Step for Distributed Data Analytics," International Journal of Information Retrieval Research (IJIRR) 6, no.1: 52-64. http://doi.org/10.4018/IJIRR.2016010104

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Abstract

The traditional data warehouse model is no longer able to keep up with the evolution and changing requirements of the data analytic world. As we see the concept of a logical data warehouse gain momentum, there's a resulting need to drive a portion of the analytics closer to where the data is actually created and used. This paper uses the concept of swarm intelligence as a basis for simple, distributed analytics architecture to help address this need. It illustrates this with an example based on a chain of retail stores and demonstrates how this model could simplify the architecture and, at the same time, and increase data availability while decreasing cost.

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