Necessity of building large data centers in county-level cities

Big Data has now moved from concept to practical application, and its commercial value has long been a concern for industry insiders, capital markets and government regulators. However, in the deep excavation of large data application prospects, some local and individual attention is only the economic benefits of large data and the benefits of fame and wealth, rather than the industry's health and sustainable development. Therefore, in the constant warming of large data investment, development and use of the tide, how to avoid the utility and blindness of resource waste, extrusion industry development process of "bubble" and "water", it becomes a realistic and urgent topic.

Application foreground of mining large data

The most positive for large data applications is the number of businesses that can actually benefit from it. To find business opportunities, solution providers make every effort to tap into the prospect of large data applications. According to Arrey financial data, by the end of 2012, the company's cumulative service of small micro-enterprises have been more than 200,000, and on July 20, 2012, Ali Finance has achieved a one-day interest income of 1 million yuan-which means that if this momentum lasts a year, Ali financial interest income will reach 365 million yuan ... This is a typical case where large businesses make use of large data sources to profit.

At present, large data applications are mainly reflected in the Internet, social networking sites and search engines and other technology areas, but in the traditional industrial areas are rare.

It is reported that at the national level, the Ministry of Science and Technology "China Cloud Science and technology development" Twelve-Five "special planning" and the Ministry of Industry's "Internet of Things" Twelve-Five "development plan" and so on the large data analysis, application as a special program to focus support, domestic individual large enterprises also for large data for some preliminary application. Although now the state from the science and technology projects began to pay attention to large data, but also arranged a number of studies, but the Chinese Internet Association, Chinese Academy of Engineering, Hequan, said that the overall gap between China and abroad is still very large. "This is not a simple technology project can be solved, should be encouraged to have resources and capabilities of enterprises and departments to develop large data, because they are the real demand for applications, is the most important traction technology." ”

Hequan pointed out that in many parts of our country, "there is no data mining, there will be no data mining." "To combine the phenomena of life with large data mining." For example, Beijing Public transport card will produce a lot of data every day, using this data can know how many people from where to change, to how, so that traffic scheduling. ”

Key to the impact of large data applications

Although it has such a large social and commercial value, but in the practical application of large data, our country still faces many influential factors.

How to share is the primary problem of large data applications. "There is no capacity in the data-owning sector to analyse, there is no data in the analytical sector, and there is a lack of coordination between departments, which actually involves a systemic problem." "Hequan points out.

The quality of shared data is also a key factor in the application of large data. According to the Japanese IT experts Mountain Fan tree, the company received data is the latest data, the accuracy of the data ... These will affect the firm's analysis of large data to come to the conclusion. "It is clear that the analysis of data with unknown provenance is meaningless. In addition, if the data cannot be updated and maintained at any time, it will not produce any value. ”

In addition, industry experts believe that enterprises or departments with data do not know how to protect users ' privacy and security of the use of large data, but also hinder the application of great data in China.

Beware of large data "bubbles"

In the capital markets, big data companies are being pushed hot. Large data analysis company Splunk on the first day of the IPO, prompting investors to focus on large data areas. At the same time, mergers and acquisitions are also heating up – including IBM, Hewlett-Packard and Oracle, which have successfully acquired large data-application companies in recent years, while big data has surpassed cloud computing as the top in the IT sector in terms of single acquisitions.

Although China has yet to increase the big data into a national strategy, but the initial signs of large data investment. Will there be a similar big data center building boom as cloud-computing centers bloom? According to incomplete statistics, at present, there are more than 25 provinces and cities in China to establish their own large data centers, some county cities are also eager to. Such a swarm of horse-building projects on the ground has made people wonder what to do with these large data centers when they are built.

In fact, the planning and construction of large data centers should consider the initial construction needs, the network environment, and the future use and maintenance. Industry experts believe that many places in the absence of comprehensive consideration of the situation, the dream of step, once and for all to complete the construction of a large data center-this regardless of the cost, regardless of the actual demand for the blind seeking large, can only cause greater human, material and resource waste.

Many industry experts, including Hequan, believe that the construction of large data centers must have a clear industrial planning, supplemented by identified users and service targets. "The large data centres to be invested by the Government should be used primarily for government information on transport, meteorology and medical services so as to better assist government departments in making decisions, and these large data centres can also meet the needs of small and medium-sized enterprises and provide them with targeted service." Hequan stressed.