大数据文献综述英文版.docx

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1、 The development and tendency of Big DataAbstract: Big Data is the most popular IT word after the Internet of things andCloud computing. From the source, development, status quo and tendency of bigdata, we can understand every aspect of it. Big data is one of the most importanttechnologies around th

2、e world and every country has their own way to develop thetechnology.Key words: big data; IT; technology1 The source of big dataDespite the famous futurist Toffler propose the conception of “Big Data” in 1980,for a long time, because the primary stage is still in the development of IT industryand us

3、es of information sources, “Big Data” is not get enough attention by the peoplein that age .12 The development of big dataUntil the financial crisis in 2008 force the IBM ( multi-national corporation of ITindustry) proposing conception of “Smart City” and vigorously promote Internet ofThings and Clo

4、ud computing so that information data has been in a massive growthmeanwhile the need for the technology is very urgent. Under this condition, someAmerican data processing companies have focused on developing large-scaleconcurrent processing system, then the “Big Data” technology become availablesoon

5、er and Hadoop mass data concurrent processing system has received wideattention. Since 2010, IT giants have proposed their products in big data area. Bigcompanies such as EMC、HP、IBM、Microsoft all purchase other manufacturerrelating to big data in order to achieve technical integration . Based on thi

6、s, we can1learn how important the big data strategy is. Development of big data thanks to somebig IT companies such as Google、Amazon、China mobile、Alibaba and so on, becausethey need a optimization way to store and analysis data. Besides, there are alsodemands of health systems、geographic space remot

7、e sensing and digital media .23 The status quo of big dataNowadays America is in the lead of big data technology and market application.USA federal government announced a “Big Datas research and development” plan inMarch,2012, which involved six federal government department the National ScienceFoun

8、dation, Health Research Institute, Department of Energy, Department of Defense,Advanced Research Projects Agency and Geological Survey in order to improve theability to extract information and viewpoint of big data . Thus, it can speed science1and engineering discovery up, and it is a major move to

9、push some researchinstitutions making innovations.The federal government put big data development into a strategy place, which has a big impact on every country. At present, many big European institutions is still atthe primary stage to use big data and seriously lack technology about big data. Most

10、improvements and technology of big data are come from America. Therefore, thereare kind of challenges of Europe to keep in step with the development of big data. But,in the financial service industry especially investment banking in London is one of theearliest industries in Europe. The experiment a

11、nd technology of big data is as good asthe giant institution of America. And, the investment of big data has been maintainedpromising efforts. January 2013, British government announced 1.89 million poundwill be invested in big data and calculation of energy saving technology in earthobservation and

12、 health care .3Japanese government timely takes the challenge of big data strategy. July 2013,Japans communications ministry proposed a synthesize strategy called “Energy ICTof Japan” which focused on big data application. June 2013, the abe cabinet formallyannounced the new IT strategy- “The announ

13、cement of creating the most advancedIT country”. This announcement comprehensively expounded that Japanese new ITnational strategy is with the core of developing opening public data and big data in2013 to 2020 .4Big data has also drawn attention of China government.Guiding opinions of theState Counc

14、il on promoting the healthy and orderly development of the Internet ofthings promote to quicken the core technology including sensor network、intelligentterminal、big data processing、intelligent analysis and service integration. December2012, the national development and reform commission add data ana

15、lysis softwareinto special guide, in the beginning of 2013 ministry of science and technologyannounced that big data research is one of the most important content of “973program” . This program requests that we need to research the expression, measure1and semantic understanding of multi-source heter

16、ogeneous data, research modelingtheory and computational model, promote hardware and software system architectureby energy optimal distributed storage and processing, analysis the relationship ofcomplexity、calculability and treatment efficiency . Above all, we can provide theory1evidence for setting

17、 up scientific system of big data.4 The tendency of big data4.1 See the future by big dataIn the beginning of 2008, Alibaba found that the whole number of sellers were ona slippery slope by mining analyzing user-behavior data meanwhile the procurementto Europe and America was also glide. They accura

18、tely predicting the trend of worldeconomic trade unfold half year earlier so they avoid the financial crisis . Document23 cite an example which turned out can predict a cholera one year earlier by miningand analysis the data of storm, drought and other natural disaster .34.2 Great changes and busine

19、ss opportunitiesWith the approval of big data values, giants of every industry all spend moremoney in big data industry. Then great changes and business opportunity comes .4In hardware industry, big data are facing the challenges of manage, storage andreal-time analysis. Big data will have an import

20、ant impact of chip and storage industry, besides, some new industry will be created because of big data .4In software and service area, the urgent demand of fast data processing will bringgreat boom to data mining and business intelligence industry.The hidden value of big data can create a lot of ne

21、w companies, new products,new technology and new projects .24.3 Development direction of big dataThe storage technology of big data is relational database at primary. But due tothe canonical design, friendly query language, efficient ability dealing with onlineaffair, Big data dominate the market a

22、long term. However, its strict design pattern, itensures consistency to give up function, its poor expansibility these problems areexposed in big data analysis. Then, NoSQL data storage model and Bigtable propsedby Google start to be in fashion .5Big data analysis technology which uses MapReduce tec

23、hnological frameproposed by Google is used to deal with large scale concurrent batch transaction.Using file system to store unstructured data is not lost function but also win theexpansilility. Later, there are big data analysis platform like HA VEn proposed by HPand Fusion Insight proposed by Huawe

24、i . Beyond doubt, this situation will becontinued, new technology and measures will come out such as next generation datawarehouse, Hadoop distribute and so on .6ConclusionThis paper we analysis the development and tendency of big data. Based on this,we know that the big data is still at a primary s

25、tage, there are too many problems needto deal with. But the commercial value and market value of big data are the directionof development to information age.忽略此处.1 Li Chunwei, Development report of Chinas E-Commerce enterprises, Beijing , 2013,pp.268-2702 Li Fen, Zhu Zhixiang, Liu Shenghui, The deve

26、lopment status and the problems of large data,Journal of Xian University of Posts and Telecommunications, 18 volume, pp. 102-103,sep.20133 Kira Radinsky, Eric Horivtz, Mining the Web to Predict Future EventsC/Proceedings of the6 ACM International Conference on Web Search and Data Mining, WSDM 2013:

27、New York:thAssociation for Computing Machinery,2013,pp.255-2644 Chapman A, Allen M D, Blaustein B. I ts About the Data: Provenance as a Toll for AssessingData FitnessC/Proc of the 4 USENIX Workshop on the Theory and Practice of Provenance,thBerkely, CA: USENIX Association, 2012:85 Li Ruiqin, Zheng Janguo, Big data Research: Status quo, Problems and TendencyJ,NetworkApplication,Shanghai,1994,pp.107-1086 Meng Xiaofeng, Wang Huiju, Du Xiaoyong, Big Daya Analysis: Competition and Survival ofRDBMS and ManReduceJ, Journal of software, 2012,23(1): 32-45