Java Data Processing Framework

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An AOP framework for Web application Dynamic Data internationalization based on Java EE architecture

The scheme has been successfully applied, which can realize the standard and efficient internationalization software development, and reduce the time and effort needed for software development. The development of Internet has promoted the communication of the whole world, it needs to develop the WEB application that satisfies the requirements of different regions ' language, culture and living habits, therefore, the internationalization of software has become the problem that must be solved. At home and abroad, there are some deficiencies in internationalization methods: Existing Dynamic Data internationalization solutions are not easy to transplant and reuse. There is no out-of-the-box Dynamic Data internationalization solution or framework. To solve the above problems, we need to propose a dynamic ...

Java thread pool management and distributed Hadoop scheduling framework

Multithreading is the problem that programmers often face in the interview, the level of mastery and understanding of multithreading concept is often used to measure a person's programming strength. Yes, ordinary multithreading is not easy, then when multithreading encounter "elephants" will produce what kind of sparks?   Here we share the Java thread Pool management and distributed Hadoop scheduling framework with 严澜, the Shanghai Creative Technology director. Usually the development of the thread is a thing, such as Tomcat in the servlet is the threads, no thread how we provide more ...

Manage Java thread pool and build distributed Hadoop scheduling framework

Usually the development of the thread is a thing, such as Tomcat is a servlet in the threads, there is no thread how do we provide multi-user access? But many developers who have just started to touch threads have suffered a lot.   How to do a set of simple threading Development Mode framework for everyone from the single thread development into multithreaded development, this is really a relatively difficult project. What is the specific thread? First look at what the process is, the process is a system executed a program, this program can use memory, processor, file system and other related resources ...

58 the same city open source Lightweight Java web Framework Argo

58 the same city open source Lightweight Java Web Framework Argo published 21 hours ago | Times Read | SOURCE csdn| 0 Reviews | The author Zhang Hong month open source 58 the same City Java framework Summary: 58 with the city open source its Lightweight Java web Framework--argo,argo originated with 58 of the city's internal Web framework WF (Web framework). WF currently supports nearly all 58 of the city's web sites. The developers ' response to the open source was very strong, almost 90 times a day.

Ibeshmet v1.5 Free Edition The MVC Development Framework of Java Technology

Ibeshmet is an MVC development framework based on Java EE technology, which is used to realize the rapid development of Web application. The framework provides a complete Web application solution, UI using the current popular ExtJS2.0, Presentation layer framework for STRUTS2, transaction management by Spring2.0 processing, persistence layer using Ibatis2.3. This framework has been based on the above technologies and provides basic functions such as page frames, authentication, user management, and Rights management. Ibeshmet is a framework for the development of reusable functional modules. Its base ...

Data mining processing in large data age

In recent years, with the emergence of new forms of information, represented by social networking sites, location-based services, and the rapid development of cloud computing, mobile and IoT technologies, ubiquitous mobile, wireless sensors and other devices are generating data at all times, Hundreds of millions of users of Internet services are always generating data interaction, the big Data era has come. In the present, large data is hot, whether it is business or individuals are talking about or engaged in large data-related topics and business, we create large data is also surrounded by the big data age. Although the market prospect of big data makes people ...

K-framework 1.4.8B1 Release java/swing framework

K-framework 1.4.8B1 This version fixes the demo project GlassFish will not reload unless the data source configuration problem for the deployed server is canceled. Kframework is a java/swing framework for distributed/network applications designed to implement Sofea/soui architectures and domain name drivers. In this way, http://www.aliyun.com/zixun/aggregation/7155.html "> Developers focus on ...

Hadoop: A stable, efficient and flexible large data processing platform

If you talk to people about big data, you'll soon be turning to the yellow elephant--hadoop (it's marked by a yellow elephant).   The open source software platform is launched by the Apache Foundation, and its value lies in its ability to handle very large data in a simple and efficient way. But what is Hadoop? To put it simply, Hadoop is a software framework that enables distributed processing of large amounts of data. First, it saves a large number of datasets in a distributed server cluster, after which it will be set in each server ...

Click 2.0.1 Publish the Java EE Web application framework

Click 2.0.1 This version adds NS-3 support. Fix important user-level todevice errors, better handle monotonous timings, improve processing of long data streams, fix packet classification and packet merging problems. Click is a high-performance Java EE Web application framework applicable to the business developer, the http://www.aliyun.com/zixun/aggregation/14417.html ">apache Foundation ...

Sweep 13 Open source Java Large data tools, from theory to practice analysis

Big data has almost become the latest trend in all business areas, but what is the big data? It's a gimmick, a bubble, or it's as important as rumors. In fact, large data is a very simple term--as it says, a very large dataset. So what are the most? The real answer is "as big as you think"! So why do you have such a large dataset? Because today's data is ubiquitous and has huge rewards: RFID sensors that collect communications data, sensors to collect weather information, and g ...

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