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Big Data successfully predicted the U.S. election, "big data" does not really care who will be elected to the next president of the United States. But all the data show that political scientists and others are concerned that Obama is more likely to win re-election. This success prediction shows the powerful energy of large data. The statistical model has been watching the hot topics (or even arguments) led by the New York Times FiveThirtyEight bloggers and statisticians Nate Silver over the past few weeks. Silver has become the focus of this controversy, in ...

"Editor's note" in the famous tweet debate: MicroServices vs. Monolithic, we shared the debate on the microservices of Netflix, Thougtworks and Etsy engineers. After watching the whole debate, perhaps a large majority of people will agree with the service-oriented architecture. In fact, however, MicroServices's implementation is not simple. So how do you build an efficient service-oriented architecture? Here we might as well look to mixrad ...

The advent of the 4G era, enterprise data faced with explosive growth, mobile TB; At the same time, human factors, software defects, uncontrollable natural disasters and other security problems occur frequently, how to make the enterprise data security and reliable, low-cost and efficient long-term preservation, has become an urgent concern for any enterprise. Fortunately, the cloud era accompanied by the 4G era, the core advantages of cloud computing: cost-effective, resource allocation, infrastructure flexibility, business smooth switching, bandwidth and storage unlimited expansion features. Multi-backup cloud backup, cloud recovery, cloud archiving and other special ...

This issue will be discussed in the following two topics: 1. Wave released 5 Smartrack new products, pointing to the integration of the architecture market, 2.VMware upgrade NSX expansion users, the latest vsphere 6 also full of confidence! So many sound column links: http://voice.zdnet.com.cn/2015/0206/3046088.shtml guests point of view refining: "00:00" Wave released 5 Smartrack new products, pointing to the integration of the architecture market this wave released in fact, the main ...

Editor's note: Data Center 2013: Hardware refactoring and Software definition report has a big impact. We have been paying close attention to the launch of the Data Center 2014 technical Report. In a communication with the author of the report, Zhang Guangbin, a senior expert in the data center, who is currently in business, he says it will take some time to launch. Fortunately, today's big number nets, Zhangguangbin just issued a good fifth chapter, mainly introduces Facebook's data center practice, the establishment of Open Computing Project (OCP) and its main work results. Special share. The following is the text: confidentiality is the data ...

PAAs vendors provide the development environment for cloud applications and the scripting or database environments that need to be maintained, and provide users with a variety of tasks, such as application deployment through multi-tenant and cluster management, large data, scalability, and availability, and the PAAs market has been implemented by Google App Engine, 　　Domination of Force.com, Heroku, Xeround, Microsoft Azure, Engine Yard, Cloud Bees, Gigaspaces, and Apprenda. ...

Just because a market is large does not mean it is profitable. Investors may be excited about short-term revenue growth, but at some point they will become impatient if they do not generate profits. Amazon's latest quarterly earnings story is a good example. What the financial data reveals is that cloud computing services-the business of leasing data storage and computing power to other companies-looks like a storm of rain that is ready to explode, and losses to investors ' portfolios. Before studying this unpleasant future, let's look at the Asian horse ...

The public cloud not only changes the price structure of computing and storage, but it also expands the scope of what enterprise it can do. This is especially true when working with large datasets, where there is no practice for flexible computing and storage access. The loose definition of "big Data" is a dataset that is too large to be processed with traditional data management techniques and infrastructure. Detailed server logs, click Stream data, social network data, and mobile device data are complementary to transactional data types in the Data warehouse and in business intelligence systems. In addition, the public cloud data repository and Third-party accelerators also provide large data set topics from T ...

Do you need a lot of data to test your app performance? The easiest way to do this is to download data samples from the free data repository on the web. But the biggest drawback of this approach is that the data rarely has unique content and does not necessarily achieve the desired results. Here are more than 70 sites with free large data repositories available. Wikipedia:database: Provide free copies of all available content to interested users. Data can be obtained in multiple languages. Content can be downloaded together with pictures. Common crawl to establish and maintain a human being ...

Do you need a lot of data to test your app performance? The easiest way to do this is to download data samples from the free data repository on the web. But the biggest drawback of this approach is that the data rarely has unique content and does not necessarily achieve the desired results. Here are more than 70 sites with free large data repositories available. Wikipedia:database: Provide free copies of all available content to interested users. Data can be obtained in multiple languages. Content can be downloaded together with pictures. Common crawl to establish and maintain a human being ...