Big Data Analytics Frameworks

被引：0
|
作者：
Chandarana, Parth [1 ]
Vijayalakshmi, M. [2 ]
机构：
[1] VESIT, Bombay, Maharashtra, India
[2] VESIT, Dept Informat Technol, Bombay, Maharashtra, India
来源：
2014 INTERNATIONAL CONFERENCE ON CIRCUITS, SYSTEMS, COMMUNICATION AND INFORMATION TECHNOLOGY APPLICATIONS (CSCITA) | 2014年
关键词：
Big Data Analytics; Big Data Issues and Challenges; Apache Hadoop; Apache Drill; Project Storm;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Big Data concerns massive, heterogeneous, autonomous sources with distributed and decentralized control. These characteristics make it an extreme challenge for organizations using traditional data management mechanism to store and process these huge datasets. It is required to define a new paradigm and re-evaluate current system to manage and process Big Data. In this paper, the important characteristics, issues and challenges related to Big Data management has been explored. Various open source Big Data analytics frameworks that deal with Big Data analytics workloads have been discussed. Comparative study between the given frameworks and suitability of the same has been proposed.
引用
收藏
页码：430 / 434
页数：5
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