Big Data Research and Application - A Systematic Literature Review

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.

*This work was supported by the European Commission under grant agreement No 763566,
by the National Science Fund, Bulgarian Ministry of Education and Science, within project
No DN 02/11, and by the Science Fund of the St. Kliment Ohridski University of Sofa within
project 80-10-192/24.04.2017.