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In this issue of Java Development 2.0, Andrew Glover describes how to develop and deploy for Amazon elastic Compute Cloud (EC2). Learn about the differences between EC2 and Google App Engine, and how to quickly build and run a simple EC2 with the Eclipse plug-in and the concise Groovy language ...
In the past few years, the innovative development of the open source world has elevated the productivity of Java™ developers to one level. Free tools, frameworks and solutions make up for once-scarce vacancies. The Apache CouchDB, which some people think is a WEB 2.0 database, is very promising. It's not difficult to master CouchDB, it's as simple as using a Web browser. This issue of Java open ...
I. Build HADOOP development environment The various code that we have written in our work is run in the server, and the HDFS operation code is no exception. During the development phase, we used eclipse under Windows as the development environment to access the HDFs running in the virtual machine. That is, accessing HDFs in remote Linux through Java code in local eclipse. To access the HDFS in the client computer using Java code from the host, you need to ensure the following: (1) Ensure host and client ...
What we want to does in this short tutorial, I'll describe the required tournaments for setting up a single-node Hadoop using the Hadoop distributed File System (HDFS) on Ubuntu Linux. Are lo ...
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.
Hadoop is an open source distributed parallel programming framework that realizes the MapReduce computing model, with the help of Hadoop, programmers can easily write distributed parallel program, run it on computer cluster, and complete the computation of massive data. This paper will introduce the basic concepts of MapReduce computing model, distributed parallel computing, and the installation and deployment of Hadoop and its basic operation methods. Introduction to Hadoop Hadoop is an open-source, distributed, parallel programming framework that can be run on a large scale cluster by ...
Hadoop is an open source distributed parallel programming framework that realizes the MapReduce computing model, with the help of Hadoop, programmers can easily write distributed parallel program, run it on computer cluster, and complete the computation of massive data. This paper will introduce the basic concepts of MapReduce computing model, distributed parallel computing, and the installation and deployment of Hadoop and its basic operation methods. Introduction to Hadoop Hadoop is an open-source, distributed, parallel programming framework that can run on large clusters.
As an important form of cloud computing, IaaS services have a wide range of open source and commercial cloud platform scenarios. This article is based on the use of open source IaaS cloud platform to develop public and private cloud management platform perspective, introduced and compared eucalyptus, Opennebula, Cloudstack and OpenStack, such as open source IaaS cloud platform. The characteristics of the successful cloud platform from AWS AWS is the most successful cloud computing platform, the most important feature of the system architecture is to open the data and function through the Web service interface.
Naresh Kumar, a software engineer and enthusiastic blogger, has great interest in programming and new things, and is happy to share technical research results with other developers and programmers. Recently, Naresh wrote about 12 well-known free, open source NoSQL databases, and analyzed the characteristics of these databases. Now that the NoSQL database is becoming more and more popular, I'm here to summarize some of the great, free and open source NoSQL databases. In these databases, MongoDB the top, with considerable ...
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