文章基本信息

标题：Digging into Hadoop-based Big Data Architectures
本地全文：下载
作者：Allae Erraissi ; Abdessamad Belangour ; Abderrahim Tragha 等
期刊名称：International Journal of Computer Science Issues
印刷版ISSN：1694-0784
电子版ISSN：1694-0814
出版年度：2017
卷号：14
期号：6
出版社：IJCSI Press
摘要：During the last decade, the notion of big data invades the field of information technology. This reflects the common reality that organizations have to deal with huge masses of information that need to be treated and processed, which represents a strong commercial and marketing challenge. The analysis and collection of Big Data have brought about solutions that combine traditional data warehouse technologies with the systems of Big Data in a logical and coherent structure. Thus, many vendors offer their own Hadoop distributions such as HortonWorks, Cloudera, MapR, IBM Infosphere BigInsights, Pivotal HD, Microsoft HD Insight, and so on. Their main purpose was to supply companies with a complete, stable and secure Hadoop solution for Big Data. They even compete with each others to find efficient and complete solutions to satisfy their customers need and, hence, make benefit from this fast-growing market. In this article, we shall present a comparative study in which we shall use 34 relevant criteria to determine the advantages and drawbacks of the most outstanding Hadoop distribution providers.
关键词：Big Data; Big Data distributions; Hadoop Architectures; comparison; Big Data solutions comparison.