{"title":"确定大数据的维度和结构","authors":"Meenu Dave, Jahangir Kamal","doi":"10.1109/ISPCC.2017.8269669","DOIUrl":null,"url":null,"abstract":"As the Big Data gets recognition, everything that is being stored electronically in bulk cannot be termed as Big Data. Nowadays efforts are being made to extract maximum useful information from analyzing Big Data, as it contains growing value to the organization and actionable relationships are abundantly found in Big Data stores as compared to the small stores. Big Data from various organizations or industries is being recognized on the basis of certain characteristics (dimensions) and structure. The characteristics of Big Data started with 3Vs (Volume, Velocity, and Variety), but new dimensions are getting evolved day by day and thus broadening the dimensions and definition of Big Data. In this paper, the growing characteristics and structure of Big Data with new definitions from academia and corporate world have been elaborated.","PeriodicalId":142166,"journal":{"name":"2017 4th International Conference on Signal Processing, Computing and Control (ISPCC)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Identifying big data dimensions and structure\",\"authors\":\"Meenu Dave, Jahangir Kamal\",\"doi\":\"10.1109/ISPCC.2017.8269669\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"As the Big Data gets recognition, everything that is being stored electronically in bulk cannot be termed as Big Data. Nowadays efforts are being made to extract maximum useful information from analyzing Big Data, as it contains growing value to the organization and actionable relationships are abundantly found in Big Data stores as compared to the small stores. Big Data from various organizations or industries is being recognized on the basis of certain characteristics (dimensions) and structure. The characteristics of Big Data started with 3Vs (Volume, Velocity, and Variety), but new dimensions are getting evolved day by day and thus broadening the dimensions and definition of Big Data. In this paper, the growing characteristics and structure of Big Data with new definitions from academia and corporate world have been elaborated.\",\"PeriodicalId\":142166,\"journal\":{\"name\":\"2017 4th International Conference on Signal Processing, Computing and Control (ISPCC)\",\"volume\":\"11 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 4th International Conference on Signal Processing, Computing and Control (ISPCC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISPCC.2017.8269669\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 4th International Conference on Signal Processing, Computing and Control (ISPCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISPCC.2017.8269669","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
As the Big Data gets recognition, everything that is being stored electronically in bulk cannot be termed as Big Data. Nowadays efforts are being made to extract maximum useful information from analyzing Big Data, as it contains growing value to the organization and actionable relationships are abundantly found in Big Data stores as compared to the small stores. Big Data from various organizations or industries is being recognized on the basis of certain characteristics (dimensions) and structure. The characteristics of Big Data started with 3Vs (Volume, Velocity, and Variety), but new dimensions are getting evolved day by day and thus broadening the dimensions and definition of Big Data. In this paper, the growing characteristics and structure of Big Data with new definitions from academia and corporate world have been elaborated.