Avi Bhardwaj, Rashbir Singh, V. Deep, Purushottam Sharma
{"title":"BDT3V -一种考虑3V的大数据测试技术","authors":"Avi Bhardwaj, Rashbir Singh, V. Deep, Purushottam Sharma","doi":"10.1109/ICGCIOT.2018.8752996","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":269682,"journal":{"name":"2018 Second International Conference on Green Computing and Internet of Things (ICGCIoT)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"BDT3V — A Technique for Big Data Testing considering 3V’s\",\"authors\":\"Avi Bhardwaj, Rashbir Singh, V. Deep, Purushottam Sharma\",\"doi\":\"10.1109/ICGCIOT.2018.8752996\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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.\",\"PeriodicalId\":269682,\"journal\":{\"name\":\"2018 Second International Conference on Green Computing and Internet of Things (ICGCIoT)\",\"volume\":\"55 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 Second International Conference on Green Computing and Internet of Things (ICGCIoT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICGCIOT.2018.8752996\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 Second International Conference on Green Computing and Internet of Things (ICGCIoT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICGCIOT.2018.8752996","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
BDT3V — A Technique for Big Data Testing considering 3V’s
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.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
