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Hadoop is an open-source software framework for distributed storage and processing of large datasets across clusters of computers. It allows for the distributed processing of large datasets across clusters of nodes using simple programming models. Hadoop is highly scalable, running on thousands of nodes, and is designed to reliably handle failures at the hardware or software level.Read less
3. è¬è¾ 以ä¸ã®ãã¼ã ãã¼ã¸ãåç §ï¼è³æã貸ãã¦ããã ãã¾ãã http://hadoop.apache.org http://developer.yahoo.net/blogs/hadoop/2008/02/yahoo-worlds-largest-production-hadoop.html http://www.techcrunch.com/2008/01/09/google-processing-20000-terabytes-a-day-and-growing/ http://codezine.jp/article/detail/2448?p=1 http://www.slideshare.net/kakuda/hadoop/ 4. outline what is Hadoop? Hadoop distributed file system Hadoop mapreduce H
This document discusses Hadoop and MapReduce. It describes how Hadoop uses MapReduce and how it was inspired by Google's implementation. It provides details on the key components of Hadoop including HDFS, JobTracker, TaskTracker, NameNode and DataNode. It also provides examples of using Hadoop with different programming languages like Java, Python and C/C++ and discusses tuning Hadoop performance.
Hadoop is an open-source software framework for distributed storage and processing of large datasets across clusters of computers. It was inspired by Google's MapReduce and GFS papers. Hadoop allows for the distributed processing of large data sets across clusters of commodity hardware. It is designed to scale up from single servers to thousands of machines, each offering local computation and sto
This document discusses Hadoop and its usage at Cookpad. It covers topics like Hadoop architecture with MapReduce and HDFS, using Hadoop on Amazon EC2 with S3 storage, and common issues encountered with the S3 Native FileSystem in Hadoop. Code examples are provided for filtering log data using target IDs in Hadoop.Read less
This document discusses Hadoop and related technologies. It introduces Hadoop, its components MapReduce and HDFS, and how they work together. It also briefly mentions related Apache projects like Mahout and how companies like Amazon, Yahoo and Facebook use Hadoop in their systems. Finally, it covers Amazon's Elastic MapReduce service, which allows running Hadoop jobs in the cloud.Read less
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