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Title: Big Data Research and Application - A Systematic Literature Review
Authors: Petrova-Antonova, Dessislava
Ilieva, Sylvia
Pavlova, Irena
Keywords: Big Data
Big Data Value Chain
Issue Date: 2017
Publisher: Institute of Mathematics and Informatics Bulgarian Academy of Sciences
Citation: Serdica Journal of Computing, Vol. 11, No 2, (2017), 073p-114p
Abstract: In the recent years Big Data has become a research topic for both academia and industry. Given the data value for applications in different domains, as well as the business value of the data per se, there is an urgent need for solid end-to-end, data-driven and data-oriented solutions to guide strategic decisions. Such solutions should include a set of mechanisms for runtime adaptations across the complete data lifecycle of Big Data Value Chain. Thus, advanced data functions enabling data to be structured, cleaned, stored, aggregated, modelled, processed, and analyzed are needed. Considering the significant value of Big Data, this paper presents a systematic literature review. Its main goal is to provide a holistic view of Big Data challenges as a result of a thorough analysis of state-of-the-art research and applications. ACM Computing Classification System (1998): Y.1.0, Z.2.1.
ISSN: 1312-6555
Appears in Collections:Volume 11 Number 2

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