{"title":"Big data: A review of analytics methods & techniques","authors":"Yojna Arora, Dinesh Goyal","doi":"10.1109/IC3I.2016.7917965","DOIUrl":null,"url":null,"abstract":"In the current scenario, data is considered to be the biggest assets. One who has maximum relevant data is considered to be rich in the information industry. But only the collection of data is not enough, it needs to be analyzed. This huge amount of data which is termed ass Big Data cannot be analyzed by traditional tools and techniques, rather it requires more advanced Techniques which can make data retrieval, management and storage much faster are required. In this paper an introduction to big data is explained along with a detailed comparative study of various Big Data techniques which have already been implemented. At the end various issues which still exist are enlisted.","PeriodicalId":305971,"journal":{"name":"2016 2nd International Conference on Contemporary Computing and Informatics (IC3I)","volume":"351 7-8","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 2nd International Conference on Contemporary Computing and Informatics (IC3I)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IC3I.2016.7917965","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 12
Abstract
In the current scenario, data is considered to be the biggest assets. One who has maximum relevant data is considered to be rich in the information industry. But only the collection of data is not enough, it needs to be analyzed. This huge amount of data which is termed ass Big Data cannot be analyzed by traditional tools and techniques, rather it requires more advanced Techniques which can make data retrieval, management and storage much faster are required. In this paper an introduction to big data is explained along with a detailed comparative study of various Big Data techniques which have already been implemented. At the end various issues which still exist are enlisted.