14 BD History大数据的发展历程 中华人民共和国中央人民政府 凶o日卿简 国务院总理新闻政策互动服务数据国情 首页〉新闾〉滚动 国务院印发《新一代人工智能发展规划》 2017-07-2017:12来源:新华社 【字体:大中小打印。+ 新华社北京7月20日电国务院近日印发《新一代人工智能发展规划》(以下简称《规划》),提出了面向2030年我国新一 代人工智能发展的指导思想、战略目标、重点任务和保障措施,部署构筑我国人工智能发展的先发优势,加快建设创新型国家 和世界科技强国。 《大数据技术原理与应用》 山西农业大学信息学院 heqiang@cisau.com.cn
《大数据技术原理与应用 大数据技术原理与应用》 山西农业大学信息学院 山西农业大学信息学院 贺强 heqiang@cisau.com.cn heqiang@cisau.com.cn 1.4 BD History 大数据的发展历程
2. BD Concept t大数据概念 Definition [edit] The term has been in use since the 1990s, with some giving credit to john Mashey for coining or at least making it popular. 1516 Big data sually includes data sets with sizes beyond the ability of commonly used software tools to capture, curate, manage, and process data within a tolerable elapsed time. 7 Big Data philosophy encompasses unstructured, semi-structured and structured data, however the mair focus is on unstructured data. 18 Big data"size"is a constantly moving target, as of 2012 ranging from a few dozen terabytes to many petabytes of data (19 Big data requires a set of techniques and technologies with new forms of integration to reveal insights from datasets that are diverse, complex, and of a massive scale 201 A consensual definition that states that Big Data represents the Information assets characterized by such a High Volume, Velocity and Variety to require specific Technology and Analytical Methods for its transformation into Value" [21 Additionally, a new V"Veracity"is added by some organizations to describe it, 22 revisionism challenged by some industry authorities. [23 The 3Vs have been expanded to other complementary characteristics of big data: 24 251 Volume: big data doesn't sample, it just observes and tracks what happens Velocity: big data is often available in real-time Variety: big data draws from text, images, audio, video, plus it completes missing pieces through data fusion Machine learning: big data often doesn't ask why and simply detects patterns 2o Digital footprint: big data is often a cost-free byproduct of digital interaction)(271 The growing maturity of the concept more starkly delineates the difference between big data and Business Intelligence: 281 Business Intelligence uses descriptive statistics with data with high information density to measure things, detect trends, etc Big data uses inductive statistics and concepts from nonlinear system identification 29 to infer laws(regressions, nonlinear relationships data with low information density 30 to reveal relationships and dependencies, or to perform predictions of outcomes and behaviors. 129) 《大数据技术原理与应用》 山西农业大学信息学院 heqiang@cisau.com.cn
《大数据技术原理与应用 大数据技术原理与应用》 山西农业大学信息学院 山西农业大学信息学院 贺强 heqiang@cisau.com.cn heqiang@cisau.com.cn 2. BD Concept 大数据概念 .wikipedia
2. BD Concept t大数据概念 巨量数据(或称大数据、海量资料),指的 是所涉及的资料量规模巨大到无法透过目前 主流软件工具,在合理时间内达到撷取、管 理、处理,并整理成为帮助企业经营决策更 积极目的资讯。一来源维基百 科 wikipedia 《大数据技术原理与应用》 山西农业大学信息学院 heqiang@cisau.com.cn
《大数据技术原理与应用 大数据技术原理与应用》 山西农业大学信息学院 山西农业大学信息学院 贺强 heqiang@cisau.com.cn heqiang@cisau.com.cn 2. BD Concept 大数据概念 巨量数据（或称大数据、海量资料），指的 是所涉及的资料量规模巨大到无法透过目前 主流软件工具，在合理时间内达到撷取、管 理、处理，并整理成为帮助企业经营决策更 积极目的资讯。——来源维基百 科.wikipedia
2. BD Concept t大数据概念 ② BLOG 101100101001 001001101010 101011100101 METERBL6 010100100101 VOLUME VELOCITY VARIETY VALUE 大量化 快速化 多样化 大数据不仅仅是数据的“大量化”,而是包含“快速 化”、“多样化”和“价值化”等多重属性。 《大数据技术原理与应用》 山西农业大学信息学院 heqiang@cisau.com.cn
《大数据技术原理与应用 大数据技术原理与应用》 山西农业大学信息学院 山西农业大学信息学院 贺强 heqiang@cisau.com.cn heqiang@cisau.com.cn 2. BD Concept 大数据概念