Node Js Apache

C + + computer vision ccv-based on C language/provides cache/core machine Vision Library, novel Machine Vision Library opencv-It provides C + +, C, Python, Java and MATLAB interfaces, and supports Windows, Linux, Android and Mac OS operating system. General machine learning Mlpack dlib Ecogg Shark Closure Universal machine learning Closure Toolbox-cloj ...

Today, Microsoft announced that it will support the open source Node.js server-side and JavaScript development environment as a revolutionary technology for Azure cloud computing platforms. Microsoft joined the community since the Node has six months, the fundamental reason for joining, I hope Node can run better on the Windows platform in order to better user experience. When an era of thought comes, there is no stronger force in the world than this. For the open source piece of chocolate, cloud computing is peanut butter. The world is changing, Microsoft has also been transformed ...

As we all know, the big data wave is gradually sweeping all corners of the globe. And Hadoop is the source of the Storm's power. There's been a lot of talk about Hadoop, and the interest in using Hadoop to handle large datasets seems to be growing. Today, Microsoft has put Hadoop at the heart of its big data strategy. The reason for Microsoft's move is to fancy the potential of Hadoop, which has become the standard for distributed data processing in large data areas. By integrating Hadoop technology, Microso ...

Note: This article starts in CSDN, reprint please indicate the source. "Editor's note" in this article for the online Office platform Gleasy co-founder, technical team boss Shike wrote, he gave us to share the gleasy all the way to the technical combat. It is reported that the release of nearly three years of Gleasy, has successfully accumulated more than 50,000 enterprise users, in response to mass storage and high concurrency under the premise of a variety of basic problems in the solution of deep experience. At the same time, March 18, 2015, Gleasy will officially release the 3.0 edition "about", and the introduction of English version, complex ...

In the past, assembly code written by developers was lightweight and fast. If you are lucky, they can hire someone to help you finish typing the code if you have a good budget. If you're in a bad mood, you can only do complex input work on your own. Now, developers work with team members on different continents, who use languages ​​in different character sets, and worse, some team members may use different versions of the compiler. Some code is new, some libraries are created from many years ago, the source code has been ...

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PaaS (Platform as a service) is a business model that provides the computing environment, development environment and other platforms as a service. Cloud computing service providers can provide users with platform-level products such as operating systems, application development environments, and services through the Web. PAAs is a pattern between IaaS and SaaS. PAAs changes the traditional application delivery model, promotes the further specialization of division of labor, decoupling the development team and the operational team, will greatly improve the efficiency of future software delivery. The following article to take a look at the foreign PAAs platform and the domestic PAAs platform ...

This article is my second time reading Hadoop 0.20.2 notes, encountered many problems in the reading process, and ultimately through a variety of ways to solve most of the. 　　Hadoop the whole system is well designed, the source code is worth learning distributed students read, will be all notes one by one post, hope to facilitate reading Hadoop source code, less detours. 1 serialization core Technology The objectwritable in 0.20.2 version Hadoop supports the following types of data format serialization: Data type examples say ...

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Large data areas of processing, my own contact time is not long, formal projects are still in development, by the large data processing attraction, so there is the idea of writing articles. Large data is presented in the form of database technologies such as Hadoop and "NO SQL", Mongo and Cassandra. Real-time analysis of data is now likely to be easier. Now the transformation of the cluster will be more and more reliable, can be completed within 20 minutes. Because we support it with a table? But these are just some of the newer, untapped advantages and ...