BDT3V-A Technique for Big Data Testing considering 3V's

被引：0
|
作者：
Bhardwaj, Avi [1 ]
Singh, Rashbir [1 ]
Deep, Vikas [1 ]
Sharma, Purushottam [1 ]
机构：
[1] Amity Univ, Noida, Uttar Pradesh, India
来源：
PROCEEDINGS OF THE SECOND INTERNATIONAL CONFERENCE ON GREEN COMPUTING AND INTERNET OF THINGS (ICGCIOT 2018) | 2018年
关键词：
BDT3V; Big Data; Testing; 3 V's;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
With sudden increase in Big Data in last few decades, innovative research and development of technologies to analyze Big Data are going across the world resulting in various tools like Hadoop, Hive, Spark,Pig, Mongodb, Flume, Oozieetc capable of analyzing data of different varieties, velocities, volumes and veracities. But with so many tools it becomes important to test the efficiency (cost and performance) and capacity of these tools with various kinds of data sets. This paper discuss an approach to test these tools in terms of their capacity and efficiency for different data sets with different 3 Vs.
引用
收藏
页码：222 / 225
页数：4
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