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This article is cited in 4 scientific papers (total in 4 papers)
Enabling data driven projects for a modern enterprise
A. R. Topchyan Yerevan State University
Abstract:
With the growing volume and demand for data a major concern for an Organization trying to implement Data Driven projects, is not only how to technically collect, cleanse, integrate, access, but even more so, how and why to use it. There is a lack of unification on a logical and technical level between Data Scientists, IT departments and Business departments, as it is very unclear where the data comes from, what it looks like, what it contains and how to process it in the context of existing systems. So in this paper we present a platform for data exploration and processing, which enables Data-Driven projects, that does not require a complete organizational revamp, but provides a workflow and technical basis for such projects
Keywords:
data-driven projects, crisp, Hadoop, data vault, distributed, information retrieval, sandbox, topic modelling, streaming processing, auto-scaling, mesos, kafka.
Citation:
A. R. Topchyan, “Enabling data driven projects for a modern enterprise”, Proceedings of ISP RAS, 28:3 (2016), 209–230
Linking options:
https://www.mathnet.ru/eng/tisp46 https://www.mathnet.ru/eng/tisp/v28/i3/p209
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Statistics & downloads: |
Abstract page: | 252 | Full-text PDF : | 154 | References: | 44 |
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