RUS  ENG
Full version
JOURNALS // Proceedings of the Institute for System Programming of the RAS // Archive

Proceedings of ISP RAS, 2016 Volume 28, Issue 3, Pages 209–230 (Mi tisp46)

This article is cited 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.

Language: English

DOI: 10.15514/ISPRAS-2016-28(3)-13



Bibliographic databases:


© Steklov Math. Inst. of RAS, 2024