How Data Is Transferred

The future is based on cloud applications. Soon, cloud applications will be able to use any device to access the Web browser and the Internet to replace legacy applications. But so many applications come from different providers, how can end users ' personal information be transferred from one cloud application to another? In the past PC era, computing was about the user, not the device. Cloud applications know what a user's cloud application is and how it is transmitted is crucial. For example, I should not type my personal information every time I log on to a different application, if I change an application's address or ...

In Beijing 301 Hospital Computer Application and Management Section of the Deputy Director Zhakingli's desk, there is a pile of "Data query statistics application Form", there is to inquire "environmental factors on respiratory disease" related to the medical records, there are to be transferred allogeneic organ transplantation of the past cases, various inquiries need a wide variety. "There are more and more applications, and each request is different. To fetch the relevant data in our database, I must write a separate retrieval procedure for each application. "Zhakingli told NetEase Technology," feeling by hand processing more and more coping. Six months ago can return the results two or three days, now ...

With the maturity and development of large data technology, large data has become more and more widely used in commerce, and more and more examples of the interaction, integration, Exchange and transaction of large data are also increasing. In this paper, some problems of large data transaction and the necessity of building large data exchange are discussed and studied. We believe that the establishment of large data exchange is imperative market demand. Currently the following companies and institutions usually have large data: large entity commercial companies or e-commerce companies, such as large chain stores walmart,sears, or Amazon, Alibaba. This kind of public ...

End-to-end encryption policies must take into account everything from input to output and storage. Encryption technology is divided into five categories: file-level or folder-level encryption, volume or partition encryption, media-level encryption, field-level encryption and communication content encryption. They can be defined further by the encryption key storage mechanism. Let's take a look at the grim forecast: According to the US Privacy information exchange, One-third of the U.S. people will encounter the loss or leakage of personally identifiable information from companies that store data electronically this year. Whether that number is not exactly right, anyway the public knows the data leaks ...

Intel anthropologist Genevieve Bell shared her research on big data, thinking deeply about possible changes to the future from big data, and exploring the implications of these big data phenomena in many different contexts. &http://www.aliyun.com/zixun/aggregation/37954.html ">nbsp; "For me, in this job, the data itself is not what makes me feel the most ...

With the country's strategic thinking of promoting big data to promote economic and social transformation and development, the construction of big data platform is now the focus of government informationization construction, and provincial governments rely on a strong information system to take the lead.

The big data is a vague and ambiguous term used to describe a large-scale phenomenon that is now rapidly becoming the focus of entrepreneurs, scientists, governments and the media. The big data is impressive. 5 years ago, a Google research team published a remarkable study in the world's most famous science journal Nature. Without any medical test results, the team was able to track the spread of flu trends across the United States at the time, and it was even faster than the US Centers for Disease Control (CDC). Google's tracking is only later than the outbreak of flu ...

With the development of the Internet, mobile Internet and IoT, no one can deny that we have actually ushered in a massive data era, data research company IDC expects 2011 total data will reach 1.8 trillion GB, the analysis of these massive data has become a very important and urgent demand. As an Internet data analysis company, we are "revolt" in the field of analysis of massive data. Over the years, with stringent business requirements and data pressures, we've tried almost every possible big data analysis method, and finally landed on the Hadoop platform ...

When Hadoop enters the enterprise, it must face the problem of how to address and respond to the traditional and mature it information architecture. 　　In the industry, how to deal with the original structured data is a difficult problem for enterprises to enter large data field. When Hadoop enters the enterprise, it must face the problem of how to address and respond to the traditional and mature it information architecture. In the past, MapReduce was mainly used to solve unstructured data such as log file analysis, Internet click Stream, Internet index, machine learning, financial analysis, scientific simulation, image storage and matrix calculation. But ...

According to IDC's estimate, from the operating cost control point of view, in the IT industry, the cost of energy consumption has reached its hardware procurement costs of 25%. The data is rising at a compound annual rate of 52%. 　　When enterprises and large and medium-sized organizations face the changing business pressure and the data of exponential growth, it is necessary to consider and pay attention to the characteristics of environmental protection and energy saving in the data center. At the same time, the Enterprise data center areas of various products have been affixed to the "green energy-saving" label, a variety of "green energy-saving" as the main selling point of the new technology is also emerging ...