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 ...

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 ...

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 ...

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 ...

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 ...

Will large data policies fail? It's time to discuss the problem. Enterprises have just mastered how to integrate ERP (Enterprise resource planning) and other business applications to eliminate the obstacles to efficiency in the business process. Service-oriented architecture, software-services, cloud computing and other modern solutions have played a role in helping enterprises achieve large-scale application integration. But today, organizations are facing a new set of challenges in a large number of data environments. More clearly, it is not a data stream. It is made up of a number of independent data streams, separating the data from each other or just like the previous enterprise application ...

Will large data policies fail? It's time to discuss the problem. Enterprises have just mastered how to integrate ERP (Enterprise resource planning) and other business applications to eliminate the obstacles to efficiency in the business process. Service-oriented architecture, software-services, cloud computing and other modern solutions have played a role in helping enterprises achieve large-scale application integration. But today, organizations are facing a new set of challenges in a large number of data environments. More clearly, it is not a data stream. It is made up of a number of independent data streams, separating the data from each other or just like the previous enterprise application ...