Big Data Open Source Platforms

被引：11
|
作者：
Coimbra de Almeida, Pedro Daniel [1 ]
Bernardino, Jorge [2 ]
机构：
[1] ISEC Coimbra Inst Engn, Dept Comp Engn & Syst, Coimbra, Portugal
[2] ISEC CISUC, Polytech Coimbra, Coimbra, Portugal
来源：
2015 IEEE INTERNATIONAL CONGRESS ON BIG DATA - BIGDATA CONGRESS 2015 | 2015年
关键词：
Big Data; Open Source; Data Mining; Data Analysis;
D O I：
10.1109/BigDataCongress.2015.45
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
In a global market the capacity to mine and analyze user data is one way for companies to be as close in time and accuracy to the needs of their users. Big Data Platforms are one solution for companies to solve the necessary challenges to accomplish these capacities. Unfortunately the number of challenges that need to be addressed, allied with the high number of different solutions proposed, has led to the creation of a high number of different platforms making it hard to name one definitive and adequate platform for companies. In this paper we compare six of the most important Big Data Open Source Platforms to help companies or organizations choose the most adequate one to their needs. We analyze the following open source platforms - Apache Mahout, MOA, R Project, Vowpal Wabbit, PEGASUS and GraphLab Create (TM).
引用
收藏
页码：268 / 275
页数：8
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