Abstract
Big data is an established platform used worldwide by many organizations for exploring and analyzing business inputs in order to reach better understanding and capabilities. Our research is focused on how organizations’ data-accumulating procedures may influence the processing of data in a big data environment. In this paper, we present a use case which examines the impact of data structure, due to big data architecture characteristics (specifically on HDFS), and how it can reflect on business processes and performance. The main contribution of this research is to point out why an organization that uses big data platforms needs to take into consideration the big data storage architecture.
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Acknowledgment
The authors would like to thank Mr. Brian Christopher Poll for his valuable comments and suggestions to improve the quality of the paper.
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Koren, O., Binyaminov, M., Perel, N. (2019). The Impact of Distributed Data in Big Data Platforms on Organizations. In: Arai, K., Bhatia, R., Kapoor, S. (eds) Proceedings of the Future Technologies Conference (FTC) 2018. FTC 2018. Advances in Intelligent Systems and Computing, vol 881. Springer, Cham. https://doi.org/10.1007/978-3-030-02683-7_76
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