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1、 Analysis: Money King and challenges, how to deal with big data era? Research papers Download news: In recent years, the concept of big data fast, hot, development is also booming, its momentum even blow a cloud overshadowed. Big Data big money scene If the 2012 data compared to large ground the yea
2、r, then in 2013 it will celebrate its budding growth, as well as the results of the year everywhere. Many IT research firm predicted that big data market at least 40% annually over the high-speed growth, in 2012 a large data size of about $ 5 billion market, will double this year. Big Data technolog
3、ies create tremendous business opportunities, money is very bright scene, according to incomplete statistics, the data show that large data industry annually for the U.S. health care system $ 300 billion to bring the gain; European public administrations to bring 250 billion euros in net income; for
4、 the World Retail net profit increased by 30 percent; 50% reduction in the global manufacturing industry product development and other costs; while use of personal location information, service providers will also bring more than 100 billion U.S. dollars in revenue for the “global village” users wit
5、h more than 700 billion U.S. dollars worth. At present, China is in the journey of building a moderately prosperous society, industrialization, information technology, urbanization, agricultural modernization and heavy task, building the next generation of information infrastructure, the development
6、 of modern information technology, industrial system, improve information security system, promote information network mining and the use of technology is to achieve the “four modernizations” an important guarantee for the simultaneous development while big data is a new generation of information te
7、chnology concentrated reflection, is a highly application-driven service areas, with infinite potential of the emerging industries, which China to implement a valuable opportunity to leapfrog development. Today, however, large data increasingly competitive opportunity fleeting, how to control the tr
8、end of big data, evolution, rainy day strategizing gain an advantage to seize the “geckos tail,” one IT vendor relationships, a user unit even a countrys competitiveness and prospects. Technical decisions product development, but also decide the fate of big data. As big data a fundamental technology
9、, Hadoop technology market this year will reach unprecedented heights, Hadoop technology will be further applied to enterprise software architecture, large-scale use Hadoop is an inevitable trend survey, represented by Hadoop Distributed storage and computing data management become the most talked a
10、bout new technology, the ratio reached 29.86%; followed is represented by SAP HANA in-memory database technology, accounting for 23.30%; cloud database ranked third, the ratio of 16.29%. Additionally, column- database technology, NoSQL will also be developed. Also other related big data technology,
11、data visualization services, crowdsourcing model (Crowdsourcing Model) will also be application trends, RDBMS (relational database management system) vendor will make a comeback can be said, Big data products, market-oriented, application of the increasingly evident, gradually taking shape. Big data
12、 and cloud computing as a pair is very eye-catching, “sisters”, this year will be the depth of integration for large data processing is inseparable from cloud computing technology, cloud computing provides flexibility for the big data scalable infrastructure supporting an efficient environment and d
13、ata services mode; Big Data compared Cloud computing offers new business value and application technology. Both will be inseparable, the perfect fusion. As a big data base with hardware support, data management, integrated product - big data machine will accelerate the introduction and gradual matur
14、ation since the concept of cloud computing and big data is proposed, for the market launch of the software and hardware integration equipment for voice everywhere, product development continued in the two years, Data Warehouse Appliance, NoSQL one machine and some other combination of multiple techn
15、ologies integrated devices will further rapid development. IBMs PureSystems, SAPs HANA Appliance, Oracles Exadata creates one machine market, “Three Kingdoms”, and wave, Huawei, tai chi and other domestic IT providers are also fully snatch one machine market. It can be predicted that this year the l
16、arge data size of the market will be further expanded, some new market segments this year will occur, for example, based on data analysis and processing of advanced data services, data analysis will appear as a service to the analysis of the products submitted Service (Analyze as a Service) business
17、; will integrate a variety of information management, to create a uniform for large data access and analysis of component products; based social networking social big data analysis; may even be based on large data skills training, personnel education and teaching courses on data analysis market busi
18、ness. Big data problems and challenges still small However, as a freshman field, despite big data means big opportunity, with great value, but it also suffered engineering technology, management policies, capital investment, personnel training and other areas of great challenge and only address thes
19、e fundamental challenges in order to take full advantage of this great opportunity to make big data work for the enterprise for the community to give full play the greatest value and contribution. First, the use of todays big data is still facing many technical difficulties bound mainly to large dat
20、a redundancy noise reduction technology; big new data representation; high efficiency and low cost of large data storage; effective integration of large data; non- structured and semi-structured data efficiently process; suitable for different industries large data mining analysis tools and developm
21、ent environments; significant reduction in data processing, storage and communication of new energy technologies, etc. These technologies are currently difficult to effectively solve problems and improvement . Some industry data involving hundreds of parameters, its complexity is not only reflected
22、in the data sample itself, but also in multi-source heterogeneous, multi-entity and multi-dynamic interaction between the space and the current technology is still difficult to use traditional methods described and measures to deal with the complexity greatly. Second, the whole society of openness a
23、nd sharing of data is difficult, which makes the quality of the data compromised. Added value lies in the integration of data, but the freedom of data integration on the premise that open. In the era of big data, the significance of open data, not just to meet the citizens right to know, but also in
24、 the era of big data so the most important production data, live data to flow freely up, accurate and comprehensive application together to promote the knowledge economy and network economic development, and promote Chinas economic growth from extensive to intensive type of transformation and upgrad
25、ing. strategic concept, however the lack of coordination difficulties government agencies, enterprises lack of understanding of the data sharing and investment is not enough, scientists are unable to meet the desire of large data such as are big data applications in the current development of our co
26、untry had to face difficulties. Third, the large data applications is still narrow, the application fee is too high, restricting big data applications. Domestic industry can take advantage of large data behind the value of the industry is mainly concentrated in the financial, telecommunications, ene
27、rgy, securities, tobacco, and other large, monopolistic enterprises, the value of other industries too early to talk about Big Data With the amount of data within the enterprise is getting bigger, future big data will become a major factor in IT spending, in particular the cost of data storage-consu
28、ming, it may cause the burden on enterprises, and even prohibitive. visionary CIO must therefore be prepared in advance. Fourth, how to balance openness and privacy is also a major problem. Whatever technology is double-edged sword, big data is no exception. How to promote the full liberalization of
29、 the data, applications and shared while effectively protecting citizens, enterprises privacy, gradually strengthen privacy legislation, the era of big data will be a major challenge. Big Data era when how to deal with? It can be said, really started big data in the enterprise and social comprehensi
30、ve application, face not only techniques and tools, is more important is to change their management thinking and organizational structure in order to really dig this big data “gold mine.” then the era of big data, we have to do what countermeasures to hold strategic victory points? Determine the com
31、panys short and medium term goals and standards Big Data abundant resources greatly complicated, if the enterprise without clear objectives, even if not err at least will feel very confused, so first of all, big businesses can use to determine the short and medium term objectives of data, data stand
32、ards define the value of the enterprise, then and then be able to use those tools to solve problems in specific areas. gradually extended, at every step, not to the ideal set too high, otherwise disappointment will be greater. Reserve big data-related technical personnel Businesses can use big data
33、to marketing management service, technical team should be in place is the foundation. Corporate management team should be able to freely Fun data very many people think that social media marketing is an interesting work, in fact, it is a tough job. Social spatial great emphasis on data, metrics and
34、data visualization and other issues. should be familiar with control, we must first ensure that enterprises and technical personnel have received training in relevant skills, learn how to maximize the use of the role and potential of big data for enterprise marketing management services. Solve the p
35、roblem of fragmentation Enterprise marketing management of large data starts one of the most important challenge is the fragmentation of data, zero hybrid. Many companies organize, the data are scattered in the mutually connected database, and the corresponding data technology are also present in th
36、e different sectors, how to get through these isolated dislocation databases, the Internet, and realize technology sharing, is to maximize Big Data value of the key. managers take note that the data network marketing strategy to succeed enhance management effectiveness, seamless networking tips that
37、 business management and marketing at every step, from data collection to data mining, application, extracting insight , reports and so on. Develop in-house ability to integrate To make the application of big data management, one, to have a strong capacity for data integration, enterprise integratio
38、n and from a variety of data sources, a variety of different structures of data, such as customer relationship management, search, mobile, social media, network analysis tools, the census data as well as offline data, these integrated data derived from a larger target audience is directed basis; Sec
39、ond, there must study and explore the data behind the value of the ability key to the future of marketing management success will depend on how in a large database mining richer marketing value like the station, outside the station data integration, multi-platform data integration, combined with dem
40、ographic and behavioral data to build optimization algorithms are the future focus; Third, after coming out to explore give precise action program management guidance, and through this program for precise and rapid real-time action. From the community and the country in terms of the field, our urgen
41、t need at the national level for large data given high priority, especially needed from policy development, allocation of resources, personnel training, etc. to give strong support; the other hand, establishing a good big data ecological environment is the big data challenge to respond effectively t
42、o make good use of the main exit of big data requires scientific community, industry and government departments under the guidance of national policy efforts, through the elimination of barriers, the establishment of alliances, big data quality standards, the establishment of professional organizations and other ways to build a harmonious big data ecosystem. In short, who took the lead with a wide variety of types of data from quick access to valuable information about the ability and opportunity, who is the winner! (Source: Cloud Network 12