A Current Trends in Big Data Landscape

被引:0
|
作者
Manu, M. N. [1 ]
Anandakumar, K. R. [1 ]
机构
[1] Bengaluru Visvesvaraya Technol Univ, SJBIT, Dept Comp Sci & Engn, Belagavi, Karnataka, India
关键词
Big data; Hadoop; HDFS; MapReduce; Mahout; Spark; DECISION-SUPPORT;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The "Big Data" is a very huge or voluminous amount of data and difficult to process using conventional data processing applications and tools. A retailer handles a millions of customer transactions per hour and transfers those into DBs and it contains more than 2.5 petabytes of data. When compare to bar codes data RFID (Radio frequency identification) alone generates 1,000 times as bar codes. Social media like LinkedIn, Facebook, blogs, and twitter manages over 250 million pictures uploads and the interactions of 800 million online users with over 900 million web pages and twits per day. 6 billion and more users are streaming the videos, tweeting, chatting, calling and browsing on cellular networks worldwide. Understanding and Handling Big data is a big challenge. In this paper, we discuss the challenging issues, organizational issues emerging tools and platforms for Big Data. In this paper, we proposed architecture for unstructured big data to get better prediction.
引用
收藏
页码:279 / 284
页数:6
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