A. McEligot, M. Cuajungco, S. Behseta, Laura Chandler, Harmanpreet Chauhan, S. Mitra, P. Rusmevichientong, S. Charles
{"title":"少数民族服务机构的大数据科学培训计划:过程和初步结果。","authors":"A. McEligot, M. Cuajungco, S. Behseta, Laura Chandler, Harmanpreet Chauhan, S. Mitra, P. Rusmevichientong, S. Charles","doi":"10.32398/CJHP.V16I1.2118","DOIUrl":null,"url":null,"abstract":"Big Data refers to data that are so large and complex, making it difficult or impossible to manage with traditional computing/software and hardware (Frost 2015; Bellazzi 2014). The volume of electronic data worldwide, just in the healthcare field, is overwhelming with an estimate of nearly 1 billion terabytes of data, and continuing to exponentially grow to zetabytes of data (Cottle, Hoover, Kanwal, Kohn, Strome & Treister, 2013). Not only is the volume of Big Data staggering, but the variety and veracity of the various forms and types of data (structured and unstructured) make it a critical area for research, training and education (Cottle et al., 2013).","PeriodicalId":87431,"journal":{"name":"Californian journal of health promotion","volume":"26 1","pages":"1-5"},"PeriodicalIF":0.0000,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Big Data Science Training Program at a Minority Serving Institution: Processes and Initial Outcomes.\",\"authors\":\"A. McEligot, M. Cuajungco, S. Behseta, Laura Chandler, Harmanpreet Chauhan, S. Mitra, P. Rusmevichientong, S. Charles\",\"doi\":\"10.32398/CJHP.V16I1.2118\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Big Data refers to data that are so large and complex, making it difficult or impossible to manage with traditional computing/software and hardware (Frost 2015; Bellazzi 2014). The volume of electronic data worldwide, just in the healthcare field, is overwhelming with an estimate of nearly 1 billion terabytes of data, and continuing to exponentially grow to zetabytes of data (Cottle, Hoover, Kanwal, Kohn, Strome & Treister, 2013). Not only is the volume of Big Data staggering, but the variety and veracity of the various forms and types of data (structured and unstructured) make it a critical area for research, training and education (Cottle et al., 2013).\",\"PeriodicalId\":87431,\"journal\":{\"name\":\"Californian journal of health promotion\",\"volume\":\"26 1\",\"pages\":\"1-5\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Californian journal of health promotion\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.32398/CJHP.V16I1.2118\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Californian journal of health promotion","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.32398/CJHP.V16I1.2118","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Big Data Science Training Program at a Minority Serving Institution: Processes and Initial Outcomes.
Big Data refers to data that are so large and complex, making it difficult or impossible to manage with traditional computing/software and hardware (Frost 2015; Bellazzi 2014). The volume of electronic data worldwide, just in the healthcare field, is overwhelming with an estimate of nearly 1 billion terabytes of data, and continuing to exponentially grow to zetabytes of data (Cottle, Hoover, Kanwal, Kohn, Strome & Treister, 2013). Not only is the volume of Big Data staggering, but the variety and veracity of the various forms and types of data (structured and unstructured) make it a critical area for research, training and education (Cottle et al., 2013).