{"title":"大数据对数据库的影响","authors":"Antonio Sarasa Cabezuelo","doi":"10.1049/pbpc037f_ch1","DOIUrl":null,"url":null,"abstract":"The last decade, from the point of view of information management, is characterized by an exponential generation of data. In any interaction that is carried out by digital means, data is generated. Some popular examples are social networks on the Internet, mobile device apps, commercial transactions through online banking, the history of a user's browsing through the network, geolocation information generated by a user's mobile, etc. In general, all this information is stored by the companies or institutions with which the interaction is maintained (unless the user has expressly indicated that it cannot be stored).","PeriodicalId":162132,"journal":{"name":"Handbook of Big Data Analytics. Volume 1: Methodologies","volume":"66 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The impact of Big Data on databases\",\"authors\":\"Antonio Sarasa Cabezuelo\",\"doi\":\"10.1049/pbpc037f_ch1\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The last decade, from the point of view of information management, is characterized by an exponential generation of data. In any interaction that is carried out by digital means, data is generated. Some popular examples are social networks on the Internet, mobile device apps, commercial transactions through online banking, the history of a user's browsing through the network, geolocation information generated by a user's mobile, etc. In general, all this information is stored by the companies or institutions with which the interaction is maintained (unless the user has expressly indicated that it cannot be stored).\",\"PeriodicalId\":162132,\"journal\":{\"name\":\"Handbook of Big Data Analytics. Volume 1: Methodologies\",\"volume\":\"66 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-07-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Handbook of Big Data Analytics. Volume 1: Methodologies\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1049/pbpc037f_ch1\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Handbook of Big Data Analytics. Volume 1: Methodologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1049/pbpc037f_ch1","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The last decade, from the point of view of information management, is characterized by an exponential generation of data. In any interaction that is carried out by digital means, data is generated. Some popular examples are social networks on the Internet, mobile device apps, commercial transactions through online banking, the history of a user's browsing through the network, geolocation information generated by a user's mobile, etc. In general, all this information is stored by the companies or institutions with which the interaction is maintained (unless the user has expressly indicated that it cannot be stored).
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