Actual Speed Of Data Transfer

This reporter Chen Xiangyan transfer network pilot six months, the implementation of the effect seems to be a little passable. According to the Ministry of Industry and Telecommunications Research Institute recently provided data, as at the end of May 2011, Tianjin, Hainan, a total of 48327 people completed the number of carrying business, of which 43959 people in Tianjin, Hainan 4368 people. During the pilot period, the business application reached 500,000 people, and the actual completion number carrying business is less than 50,000, the success rate of application for transfer network is only one-tenth.　　The low success rate of the transfer network is widely recognized in the industry, and it is one of the problems to further promote the transfer network in the next stage. Turn the net ...

C FP Map-carrying number transfer network wool. According to the latest data released by the Ministry of Public Information, since November 2010, Tianjin, Hainan Two places to start mobile phone http://www.aliyun.com/zixun/aggregation/32683.html "> Portability Network pilot work, Domestic successful transfer network users only 58,260, accounting for about 37% of the number of users, the success rate is less than 40%. In the last 8 months, fewer than 10,000 users have implemented the transfer network. Apply for the number of transfer, into ...

1. The introduction of large data production makes data analysis and application more complex, difficult to manage. According to statistics, the amount of data produced in the world over the past 3 years is more than the previous 400 years, including documents, pictures, videos, web pages, e-mail, microblogging and other types, of which only 20% are structured data, 80% is unstructured data. The increase of data makes the data security and privacy protection problem become more and more prominent, all kinds of security incidents to the enterprise and user wake-up alarm. Throughout the data lifecycle, businesses need to comply with stricter security standards and confidentiality rules ...

In the internet age, large data is hot, many people must pro data, but can really say that the big data is not much, not to mention how to use large data to dig out the great business value. 　　How do you define large data? What are the characteristics of large data? This paper aims to clarify the concept of large data, illustrate the application of large data and explore the future development of large data. 　　Q1: Is big Data a commercial hype? The industry's definition of large data is 4 "V": Large volume (Volume), multiple species (produced), fast (velocity) ...

Content Summary: The data disaster tolerance problem is the government, the enterprise and so on in the informationization construction process to be confronted with the important theory and the practical significance research topic. In order to realize the disaster tolerance, it is necessary to design and research the disaster-tolerant related technology, the requirement analysis of business system, the overall scheme design and system realization of disaster tolerance. 　　Based on the current situation of Xinjiang National Tax Service and the target of future disaster tolerance construction, this paper expounds the concept and technical essentials of disaster tolerance, focuses on the analysis of the business data processing of Xinjiang national tax, puts forward the concrete disaster-tolerant solution, and gives the test example. Key words: ...

Today, because of the soaring cost of data and the uneven level of technical managers, cloud storage has become an important initiative and direction for data storage in various institutions. As an important service in the cloud, cloud storage provides data storage and business access to various storage devices through application software through cluster application, grid technology, or Distributed file system. For data storage, there are many problems when we transition from a physical environment and a single array to a fully virtualized, highly dynamic storage environment. and data migration as the use of cloud storage side ...

This is a messy and bushy-hung Hongji (000040, closing price of 6.07 yuan).　　As early as August 26, "Daily economic news" exclusive report on the Shenzhen Hongji transfer of Xi ' an subsidiary, the company's former senior executives Guan Zhenfang through the control of the Cylon company, 4 years easy to profit nearly 300 million yuan news. After further investigation by reporters, it was found that there were more doubts surrounding the sale of Sun Hung Kai assets. June 22 this year, Sun Hung Kai has announced the transfer of its Shenzhen Yu Tai Export Supervision Warehouse Limited (hereinafter referred to as Yu Tai) and other assets, the transferee is unrelated to the natural person Lin Jongxu;

The big data age is not popping up, and in fact, in the past few decades, mathematical analysis has dabbled in the financial sector, with Nobel laureate Harry Markwitz, William Sharp, Robert Engle uses econometric knowledge and financial market data to establish mathematical models to predict the relationship between product returns and risk volatility in financial markets. The emergence of a large data age is simply a result of the combination of massive data and perfect computing power. To be exact, mobile Internet and IoT produce huge data, and large data computing technology solves the collection, storage and calculation of massive data perfectly 、...

Zhang Fubo: The following part of the forum is mainly four guests, talk about cloud practice. Beijing First Letter Group is the Beijing government's integration company, mainly responsible for the capital window of the construction, they are also in the domestic, in the government industry earlier in a company, as the first letter Group Technical Support Center General Manager Zhang Ninglai for us to do the report. Zhang: Good afternoon, we have just introduced, I am from Beijing First Letter Development Co., Ltd., I bring today is the result of our practice in cloud computing technology these years. Today is mainly divided into three parts, we mainly do is the field of e-government applications, we are mainly ...

If only a large amount of structured data, then the solution is relatively simple, users to buy more storage equipment, improve the efficiency of storage devices and other solutions to such problems. 　　However, when people find that the data in the database can be divided into three types: structural data, unstructured data and semi-structured data and other complex situations, the problem seems to be less simple. Big Data hits when the type of complex data hits, then the impact on the user IT system will be another way to deal with. Many industry experts and third party investigation agencies through a ...