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"Graphics" distributed parallel programming with Hadoop (ii)

program example and Analysis Hadoop is an open source distributed parallel programming framework that realizes the MapReduce computing model, with the help of Hadoop, programmers can easily write a distributed parallel program, run it on a computer cluster, and complete the computation of massive data. In this article, we detail how to write a program based on Hadoop for a specific parallel computing task, and how to compile and run the Hadoop program in the ECLIPSE environment using IBM MapReduce Tools. Preface ...

Distributed parallel programming with Hadoop, part 2nd

Foreword in an article: "Using Hadoop for distributed parallel programming the first part of the basic concept and installation Deployment", introduced the MapReduce computing model, Distributed File System HDFS, distributed parallel Computing and other basic principles, and detailed how to install Hadoop, how to run based on A parallel program for Hadoop. In this article, we will describe how to write parallel programs based on Hadoop and how to use the Hadoop ecli developed by IBM for a specific computing task.

Widgetserver 3.0 Publishing Java/xml server-side GUI framework

Widgetserver is a java/xml server-side GUI framework that can be used as an application to run an entire swing program, a client/server or as a Web application, as well as provide a http://www.aliyun.com/ zixun/aggregation/13428.html ">eclipse plugin. A versatile tool suite supports tree view, tabbed panes, split panels, and so on. Widgetser ...

Spring Data JPA V1.0.0.M1 Publish Spring Framework Application data Access tool

The Spring Data project is designed to simplify the building of data access counts based on the spring framework application, including http://www.aliyun.com/zixun/aggregation/33495.html "> Non-relational databases, Map-reduce framework, cloud data services, and so on, and also includes access support for relational databases. Spring Data JPA Project has just released a second milestone version, the new official ...

play! v1.1 release builds Java playback framework for Web applications

Finally a Java framework made by WEB developers. Discover a clean alternative to bloated enterprise Java stacks. Play focuses on developer productivity and targets http://www.aliyun.com/zixun/aggre ...

The framework and characteristics of IBM SPSS analytical Decision Management cluster environment

This article describes in detail how to deploy and configure ibm®spss®collaboration and deployment Services in a clustered environment. Ibm®spss®collaboration and Deployment Services Repository can be deployed not only on a stand-alone environment, but also on the cluster's application server, where the same is deployed on each application server in a clustered environment.

Implement middleware virtualization with IBM Workload Deployer Virtual Application Model (i)

Through the IWD or Pure expert system, the Java-EE platform that the user obtains has the advantages of the expansion characteristic of the computing unit, the loose coupling between application and the operating system, and the design of disaster tolerance. And to achieve this goal of the http://www.aliyun.com/zixun/aggregation/17799.html "> Development process is very simple! This article creates a virtual application mode by using the IWD virtual Application Mode plug-in development tool and the middleware installation media in Eclipse ...

A hybrid approach to Sudoku Maze: Deploying rule applications into the cloud

In this column, I will highlight how to execute the rule application on the cloud. Can WEB applications take advantage of the rules engine that will be deployed to the public cloud? If so, which rule integration patterns will we use? Which ODM components will we deploy? How do we expect to achieve performance levels? What challenges are waiting for us? These are the questions this column would like to answer for two widely used cloud products: Google App engine™ and Amazon Web services™. This column describes a personal discovery tour ...

Why do many companies have large data-related businesses based on Hadoop solutions?

The most important reason to choose Hadoop is that three points: 1, can solve the problem, 2, low cost, 3, mature ecological circle.   One, Hadoop helps us solve what problems both domestic and foreign large companies have an insatiable thirst for data, and will do everything they can to collect all the data, because the asymmetry of information is constantly being made available, and a great deal of information can be obtained through data analysis. The source of the data is very much, the data format is more and more complex, over time data ...

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