Opening the door to big data opportunities

Large data, as its name implies, is the image description of mass data. From a technical point of view, large data is the collection, storage, analysis, integration, control, and related technology and industry, its characteristics are large quantity, fast, diversity, authenticity. Large data is a gold mine, its attractive prospect lies in the data processing to excavate the value, helps the government, the enterprise, the society makes the more wise choice, thus less detours, saves the cost, enhances the efficiency.

Large data began to become popular in the Internet Information technology industry in the 2009, the United States in 2012 to the "Big Data Strategy" into a national strategy, the world now many countries have launched a large data strategy.

People for the vast number of data mining and use, as the cloud computing, the information technology industry after the Internet, another major technological revolution, and some people will be large data as the third wave of the CLS movement. Of course, the big data is not simply refers to the information published on the Internet, but because of the development of the Internet and the information industry has aroused people's attention, is the Internet development to the current stage of an appearance or characteristics. Cloud computing provides a way to deal with large data. Activate large data assets, is the core issue of large data development, but also the inner soul of cloud computing and the inevitable upgrade direction.

In the background of the technology innovation represented by cloud computing, the information of business transaction inside the enterprise, the goods logistics information in the Internet world, the interaction information and location information of people and people in the world, etc., the huge amount of data which is difficult to collect and use, can be mastered and used.

The relationship between big data and cloud computing is like the opposite of a coin. The acquisition of large data without random analysis (sampling) Such shortcuts, the use of all data methods, it must not be handled by a single computer, the need to adopt a distributed architecture, requiring tens, hundreds of, or even thousands of of the computer allocation work, must rely on the cloud computing distributed processing, distributed database and cloud storage, Virtualization technology. Therefore, large data is distributed mining of massive data, which needs new processing mode of computer network, strong insight and process optimization ability, high growth rate and diversified information assets.

It is a revolution to sift out useful information from massive data, which is a great challenge to information network and data processing ability. The strategic significance of large data is not in mastering huge data information, but in how to deal with it professionally, and to give correct information to the right person in the right time to realize its value and benefit. Processing capacity is the core competitiveness of large data industry, and also the key to profit of large data industry.

Pry the earth needs a fulcrum, and large data is an ideal fulcrum. By tracking the large data accumulated by the heaters, air-conditioning, fans and lighting of intelligent buildings, Microsoft optimizes energy utilization and realizes intelligent operation, which can save 40% of energy.

Big figures portend productivity gains and a new wave of consumption. Through the development of large data can be a new industry, and then expand into a strategic emerging industries.

Because more than 90% of human behavior can be predicted through effective data analysis. With the rapid development of information technology, the value of Internet data from quantitative to qualitative change, can directly show the law of economic and social operation, so that people's decision-making will be increasingly based on large data, rather than based on experience and intuition, the scientific nature of decision-making, accuracy can be greatly improved. In the consumer industry, financial services, food safety, medical and health, E-commerce, military, transportation, environmental protection, meteorology and many other fields, large data have a broad application prospects, and produce huge economic and social values and industrial development space.

Especially in the field of service, accurate management, scientific decision-making and humanized service are the typical applications of large data through user behavior analysis. Large data has become an important factor of production compared with material assets and human resources, enterprises can optimize the allocation of human and material resources by using large data, and create greater value. The future success of the enterprise, from the macro will depend on whether the management can develop a large data strategy in line with their own, depending on whether the full use of good relevant large data.

Obviously, there are huge benefits hidden behind large data, which plays an important role in improving production efficiency, reducing economic and social operating costs, improving government governance and safeguarding national security.

Our country is the data big country, but is not the data powerful country, wants to realize from the big change strong, should grasp the big data development opportunity.

-to increase the development of large data into a national strategy, strengthen the top design, improve the management system mechanism, formulate the technical standards and norms of large data, through strategic planning and system design, integration of government data, industry data, enterprise data and so on, the establishment of a National unified Network data Center, planning the healthy development of large data road map.

--focus on the development of independent chips, operating systems, databases and other core technologies, key technologies, with data analysis technology as the core, to promote the cloud computing, Internet of Things, mobile and other technologies to integrate.

--oriented to large data application, strengthen web search technology, Knowledge Computing (search) technology, knowledge base technology and other core technology research and development, develop high-quality single technology products, and with data processing technology, in order to achieve business intelligence services to provide technical support.

--for medical, energy, finance, telecommunications, circulation and other areas of large data, the formation of a group with a high level of integration, strong market capacity of large data solution providers, for large data in various industries in the field of applications to provide sophisticated solutions to promote data applications.

--To promote large data legislation, to formulate relevant laws and regulations relating to personal privacy, trade secrets and the use and protection of government confidential data collection, to standardize the duties of data owners, users, managers and other parties, improve data resource standards and ensure data security according to law.

(Author unit: Administration of State organs Affairs)