Survey on the Applications of Big Data in Chinese Real Estate Enterprise <s> Literature <s> The amount of data in our world has been exploding, and analyzing large data sets—so-called big data— will become a key basis of competition, underpinning new waves of productivity growth, innovation, and consumer surplus, according to research by MGI and McKinsey's Business Technology Office. Leaders in every sector will have to grapple with the implications of big data, not just a few data-oriented managers. The increasing volume and detail of information captured by enterprises, the rise of multimedia, social media, and the Internet of Things will fuel exponential growth in data for the foreseeable future. <s> BIB001 </s> Survey on the Applications of Big Data in Chinese Real Estate Enterprise <s> Literature <s> Delete: The Virtue of Forgetting in the Digital Age Viktor Mayer-Schonberger. Princeton, NJ: Princeton University Press, 2009. 237 pp. $24.95.There is a famous Indian parable of a group of blind men who are trying to describe an elephant. Each of the men is feeling a different part of the elephant, and based on what they feel, each gives a description of the animal, saying, variously, "The elephant is leathery and floppy," "The elephant is smooth and hard and curved," "The elephant is firm and low to the ground solid and has the diameter of a small tree," etc. Each accurately describes the portion of the elephant he is examining but fails to get a sense of the animal as a whole. This story comes to mind in considering Viktor Mayer-Schonberger's new book, Delete: The Virtue of Forgetting in the Digital Age. Mayer-Schonberger's concern is with a new problem posed by our use of electronic communication systems, and the fact that our communications are now typically stored, easily shared, and once shared, difficult to erase. Tracings of moments in our lives that represent who we were at one time and no longer are, or that reveal actions from an otherwise isolated context, now often have a permanent existence in the electronic environment that can compromise our ability to control our own lives. The interest in controlling what is remembered about us, as he presents it, akin to our interest in personal privacy (indeed, Mayer-Schonberger often writes about privacy in the book as though it is conceptually indistinct from the idea of deleting what we no longer want around). He touches on questions of power, in a limited way, in the sense that he is worried about the ability of the state or an employer or another group in power to adversely affect our lives based on personal information over which we have very limited control. An audience that has presumably been participating in Internet discussions or communities during the past decade should find this concern easy to understand.Mayer-Schonberger's argument for deleting information is narrow in scope. The book begins with an account of the history of recorded information as a linear progression from a lack of recorded memory to our present system of ubiquitous records, which, as he notes, collapses the present and the past. Following that historical overview is his exposition of the argument that society needs to rediscover the power of forgetting, mainly in the interest of protecting individual autonomy and to give us the freedom to grow. Finally there is a set of recommendations for regulatory and technological solutions to re-enable this social forgetting (e.g., electronic records that self-destruct after a certain period.)What is odd about the book is its apparent lapse of memory regarding prior discussions of memory and forgetting and "The Archive" (as scholars outside of archival studies have begun referring to the collective storehouse of recorded information). Mayer-Schonberger's primary oversight is his view that instituting social forgetting can be argued on the basis of the Enlightenment value of individual rights, when the problem posed by the need for forgetting is very much a postmodern challenge to such liberal values. For a scholar to argue for forgetting in liberal terms in the shadow of the atrocities of the twentieth century, which brought so much attention to cultural memory and the imperative to "never forget," is surprising. Some works come immediately to mind in Mayer-Schonberger's blind spot. Milan Kundera's The Book of Laughter and Forgetting is an example of a novel of ideas that deals with the problem of tension between the need to forget in order to move forward and the need for cultural memory for the sake of justice and reconciliation. As a corrective to Mayer-Schonberger's linear history of recorded information, which is a story of memories piling up, one could read Matthew Battles' recent Library: An Unquiet History, which chronicles the destruction of national libraries through the ages by new regimes that wanted to wipe out all traces of the old. … <s> BIB002 </s> Survey on the Applications of Big Data in Chinese Real Estate Enterprise <s> Literature <s> Compared with traditional data warehouse applications,big data analytics are huge and complex.To design a favorable architecture for big data analytics,this paper lists some key features for big data analytics,summarizes current main implementation platforms(parallel databases,MapReduce,and hybrid architectures based on them),and points their pros and cons.Some current researches are also investigated,our work are introduced and some challenging research problems in the future are discussed. <s> BIB003
To understand thoroughly the big data phenomenon is late in last several years relative to the recognition of usual data. So is the related academic research. Actually, it received high attention from academic and industrial sector at once presented, followed by the big data boom both in theory research and practical application. Chinese property enterprises seize opportunities in time making successful practices, though the systematic research about the applications in big data in academia is not sufficient so far. It is McKinsey that first puts forward the concept of big data. Big data has become an important factor of production permeating into different industries and functional areas for now. The mining and applications of large data means a new wave of productivity growth and consumer surplus BIB001 . Viktor Mayer-Schönberger stared the research on big data. He is also known as the prophet of the era of big data. He made a point that prediction is the core of big data. The transformation from samples to the overall data, the change from the pursuit of exactness to acceptance uncertainty and the correlativity instead of causality are indispensable to prepare for the age of big data  . He also studied how to make a choice from complicated data volume and then how to build the positive healthy future BIB002 . The Nature made big data special issue as early as 2008, describing the potential value of big data and the challenge from data handling techniques in Internet technologies, biomedical and environmental sciences, cloud technologies and other fields. Likewise, the Science, one of the top international academic journals, published a special issue to convey the ideas of the time of big data. In 2012, the European academy of informatics and mathematics studied big data systematically including the management of big data, the direction and results of academic research  . In the area of applications of big data in realty, Lohr S. holds the view that the property sales forecasts for the next quarter depended on big data is much more precise than that made by economists  . Brown B and Chui M et al. believe that the reaching of big data provides potential for both realty enterprises and realty buyers with direct data sharing, bypassing the estate agents. And this can be a shock to the sense of data property right  . The MIIT stressed four innovative projects on key techniques including information processing technology in the "twelfth five-year" plan in December 2012, though "big data" was not official definition then. The information processing technology such as mass data storage technique and video image intelligent analysis is closely related to big data. With the time of cloud, big data is not only the IT hot word but also the focus of academic study. Studying a lot, Wang Shan at RenMin University of China illustrates the performance objectives of big data analytics platform. She reviews the framework of big data warehouse designed for analysis, supplying theory base for the structure of big data BIB003 . Li Guojie and Cheng Xueqi at the Institute of Computing Technology in the Chinese Academy of Sciences make a systematic exposition on the academic development of big data and the challenge in applications from a scientific research perspective, coming up with the implications of big data study  . The present domestic researches center on fields with large amounts of data easily available, such as library information management system and the building of digital library, the influence of big data to culture and media, the business marketing and accounting context with big data, the micro-miniature credit management based on big data, diseases control and prevention depended on big data, and so on. In spite of some achievements, the applications of big data in a few certain fields are more advanced. For example, there are quite a few portal sites support big data sharing and communication, while the academic research on big data resources or how to value these resources is deficient. And the studies on the range of issues of data sharing or transaction are less. Similarly, the academic research on big data of real estate is also behind the realty entrepreneurs' practice. Chen Dachuan and Zhang Baoshan studied the application of big data in housing information system to propose the building of big housing database in 2012  . Yan Juan studied the realty enterprises' precision marketing based on big data in 2013  . By now, the research is not in-depth or complete enough compared with the practical applications. There are the following contents in this paper. Section 1 is a brief introduction for big data and the application in real life. Section 2 is a literature for big data and application in real estate market. Section 3 analyzes the application of big data in Chinese real estate enterprise. And Section 4 analyzes the problem for the application of big data in real estate market and proposes the solution. And sections 5 summarize the paper.