Article(id=1242138046733296159, tenantId=1146029695717560320, journalId=1146031591421210625, issueId=1242138028983005327, articleNumber=null, orderNo=8, doi=10.3981/j.issn.1000-7857.2020.03.005, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1573142400000, receivedDateStr=2019-11-08, revisedDate=1580486400000, revisedDateStr=2020-02-01, acceptedDate=null, acceptedDateStr=null, onlineDate=1585714926537, onlineDateStr=2020-04-01, pubDate=1581523200000, pubDateStr=2020-02-13, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1585714926537, onlineIssueDateStr=2020-04-01, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1774078388147, creator=sys-migrate, updateTime=1774078388147, updator=sys-migrate, issue=Issue{id=1242138028983005327, tenantId=1146029695717560320, journalId=1146031591421210625, year='2020', volume='38', issue='3', pageStart='1', pageEnd='216', issueExtLink='null', onlineDate='null', pubDate='1581523200000', pubDateStr='2020-02-13', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=3, issueType=-1, specialIssue=null, createTime=1774078383914, creator='sys-migrate', updateTime=1774078383914, updator='sys-migrate', preIssue=null, nextIssue=null, articleTotal=null, ext=null, issueFiles=null, downloadFileDto=null}, startPage=84, endPage=93, ext={EN=ArticleExt(id=1242138053221888224, articleId=1242138046733296159, tenantId=1146029695717560320, journalId=1146031591421210625, language=EN, title=Big data software research and development: progresses and challenges, columnId=1242138034179747997, journalTitle=Science & Technology Review, columnName=Exclusive: Big data strategy, runingTitle=null, highlight=null, articleAbstract=The rapid development of the big data technology brings about the emergence of various big data products. Today, the ecosystem based on various big data products is very large. Behind the prosperity, the current state of the development of the big data products is difficult to understand for users and practitioners. This paper reviews the core technology of the big data products from two perspectives:the data storage and analysis. Based on the results of authoritative evaluation organizations, the current situation of the big data products in the domestic market is analyzed. Looking forward to the future, China's big data product R&D needs the participations of the open source community, the cultivation of compound talents, the product segmentation and the interdisciplinary collaborative innovation., authors=LIU Yingbo¹, WEI Kai², authorsList=LIU Yingbo, WEI Kai, authorCompany=1. School of Software, National Engineering Laboratory of Big Data System Software;Beijing Key Laboratory of Industrial Big Data System and Applications, Tsinghua University, Beijing 100084, China;
2. China Academy of Information and Communications Technology, Beijing 100084, China, correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=J9nsBZnwGBJbJf+r47KV5w==, pdfFileSize=588314, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1242138051019874906, articleId=1242138046733296159, tenantId=1146029695717560320, journalId=1146031591421210625, language=CN, title=大数据软件产品研发进展及挑战, columnId=1242138033248612506, journalTitle=科技导报, columnName=专题：大数据战略, runingTitle=null, highlight=null, articleAbstract=大数据技术的蓬勃发展催生了丰富的大数据应用，当今各种大数据产品形成的复杂的生态系统。从数据的存储和分析两个角度概述了大数据产品的核心技术，结合权威评测机构的结果，分析了国内市场上大数据产品的现状。未来中国大数据产品研发在开源社区的参与度、复合型人才培养、产品细分和跨学科协同创新上还需进一步努力。, authors=刘英博¹, 魏凯², authorsList=刘英博, 魏凯, authorCompany=1. 清华大学软件学院, 大数据系统软件国家工程实验室, 工业大数据系统与应用北京市重点实验室, 北京 100084;
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