Introduction to MapReduce and Hadoop

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  1. Introduction to MapReduce and Hadoop (2 messages)

    MapReduce is a parallel programming technique made popular by Google. It is used for processing very large amounts of data. Such processing can be completed in a reasonable amount of time only by distributing the work to multiple machines in parallel. Each machine processes a small subset of the data. Check out the following article for an introduction to MapReduce.

    MapReduce: A Soft Introduction

    Hadoop is a framework written in Java for running applications on large clusters of commodity hardware and incorporates features similar to those of the Google File System and of MapReduce. HDFS is a highly fault-tolerant distributed file system and like Hadoop designed to be deployed on low-cost hardware. Check out the following article for an introduction to Hadoop.

    Hadoop: A Soft Introduction

    Threaded Messages (2)

  2. Fix link[ Go to top ]

    Could you fix the hyperlink for "Hadoop: soft introduction"? 

    It refeers to this TSS article.

  3. Link still broken.[ Go to top ]

    It should go here, looks like.