R Programming Examples

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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 ...

MapReduce: Simple data processing on Super large cluster

MapReduce: Simple data processing on large cluster

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.

Spark: A framework for cluster computing on a workgroup

Translation: Esri Lucas The first paper on the Spark framework published by Matei, from the University of California, AMP Lab, is limited to my English proficiency, so there must be a lot of mistakes in translation, please find the wrong direct contact with me, thanks. (in parentheses, the italic part is my own interpretation) Summary: MapReduce and its various variants, conducted on a commercial cluster on a large scale ...

Trends in large data-processing technology-introduction of five open source technologies

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 ...

The past and present of artificial intelligence and machine learning

Machine Learning (ML) studies these patterns and encodes human decision processes into algorithms. These algorithms can be applied to several instances to arrive at meaningful conclusions.

Can distributed caching be used as a NoSQL database?

(Author Srini penchikala translator Dingxuefeng) for non-relational data types such as documents, object graphs, and key-value pairs, the NoSQL database provides them with an alternative way to store data. Can distributed caching be used as a NoSQL database? Ehcache's Greg Luck author describes the similarity between distributed caching and NoSQL databases. Infoq interviewed him and discussed the pros and cons of the scheme. InfoQ: Can you do a distributed caching solution with the NoSQL database ...

Corrupt Karma

Absrtact: In the past few years, there has been an increasingly strong idea in my mind that social networking sites have serious problems with ecosystems. That's why I deleted Reddit and Hacker News from my stream. Although I have already mentioned in many conversations that in the past few years, there has been an increasingly strong idea in my mind that social networking sites have serious problems with ecosystems. That's why I deleted Reddit and Hacker News from my stream. Although I have been in a lot of ...

The core technology, application status and development trend of education big data

The big data field has boomed in recent years. As a segment of big data, education big data has great potential to promote educational change. Big data technology is rapidly evolving, which opens up new possibilities for big data applications.

Example of log analysis and website operation Improvement

Hello, I'm brother Tao. The event has many webmaster from the strategic level to share the idea of the site operation, just found a lot of friends once said the idea is difficult to explain the example, so I took a last year's example, to share with you how we find the problem from the log analysis, solve the problem to the final summary of lessons and optimize the operation of the site process,   At the same time I will detail the details of the way to popularize the log analysis, I hope to help friends. Website operation has a link important, that is data monitoring and data analysis, otherwise the problem does not know ...

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