Big Data Research and Application - A Systematic Literature Review
Dessislava Petrova‐Antonova, Sylvia Ilieva, Irena Pavlova · Serdica Journal of Computing · 2018
In the recent years Big Data has become a research topic forboth academia and industry. Given the data value for applications indifferent domains, as well as the business value of the data per se, there isan urgent need for solid end-to-end, data-driven and data-orientedsolutions to guide strategic decisions. Such solutions should include a setof mechanisms for runtime adaptations across the complete data lifecycleof Big Data Value Chain. Thus, advanced data functions enabling data tobe structured, cleaned, stored, aggregated, modelled, processed, andanalyzed are needed.Considering the significant value of Big Data, this paper presents asystematic literature review. Its main goal is to provide a holistic view ofBig Data challenges as a result of a thorough analysis of state-of-the-artresearch 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 projectNo DN 02/11, and by the Science Fund of the St. Kliment Ohridski University of Sofa withinproject 80-10-192/24.04.2017.