Survey of In-memory Big Data Analytics and Latest Research Opportunities

被引：0
|
作者：
Gangarde, Rupali [1 ]
Pawar, Ambika [1 ]
Dani, Ajay [2 ]
机构：
[1] Symbiosis Int Univ, Dept Symbiosis Inst Technol, Pune, Maharashtra, India
[2] GH Raisony Inst Engn & Technol, Pune, Maharashtra, India
来源：
2016 FOURTH INTERNATIONAL CONFERENCE ON PARALLEL, DISTRIBUTED AND GRID COMPUTING (PDGC) | 2016年
关键词：
Big data analytics; In-memory management; Query processing; Indexing; Research opportunities; Frameworks; Platforms; DATA-MANAGEMENT;
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
Big data analytics is the latest technology in the field of Computer Science and Information Technology. Big data analytics techniques are very useful and widely applied in all the types of business organizations. There are many research areas and opportunities in the area of big data analytics. Big data refer to large size, various types and quickly generating data. Data is an important knowledge base and further helps in designing business strategies. Big data analytics is an extraction of knowledge by processing big data. Big data analytics have many challenges to deal with as first, to process large amount of data, second to process it faster and third to give results in real time. This paper explores the different facets of big data analytics such as: frameworks and platforms, parallelism mechanisms and indexing techniques. This paper presents important future research directions.
引用
收藏
页码：197 / 201
页数：5
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