The Impact of Distributed Data in Big Data Platforms on Organizations

被引：1

作者：

Koren, Oded ^{[1
]}

Binyaminov, Matan ^{[1
]}

Perel, Nir ^{[1
]}

机构：

[1] Shenkar Engn Design Art, Sch Ind Engn & Management, 12 Anne Frank St, Ramat Gan, Israel

来源：

PROCEEDINGS OF THE FUTURE TECHNOLOGIES CONFERENCE (FTC) 2018, VOL 2 | 2019年 / 881卷

关键词：

Big data; Architecture; HDFS; MANAGEMENT; EFFICIENT; SET;

D O I：

10.1007/978-3-030-02683-7_76

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：1024 / 1036

页数：13

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