| 1 | Source: hadoop |
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| 2 | Section: devel |
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| 3 | Priority: extra |
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| 4 | Maintainer: Jazz Yao-Tsung Wang <jazzwang.tw@gmail.com> |
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| 5 | Build-Depends: debhelper (>= 5) |
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| 6 | Standards-Version: 3.7.2 |
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| 7 | |
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| 8 | Package: hadoop |
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| 9 | Architecture: any |
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| 10 | Depends: ${shlibs:Depends}, ${misc:Depends}, sun-java6-jre |
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| 11 | Suggests: hadoop-src, hadoop-doc |
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| 12 | Description: Apache Hadoop Core |
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| 13 | . |
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| 14 | Apache Hadoop Core is a software platform that lets one easily write and |
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| 15 | run applications that process vast amounts of data. |
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| 16 | . |
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| 17 | Here's what makes Hadoop especially useful: |
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| 18 | * Scalable: Hadoop can reliably store and process petabytes. |
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| 19 | * Economical: It distributes the data and processing across clusters of |
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| 20 | commonly available computers. These clusters can number into |
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| 21 | the thousands of nodes. |
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| 22 | * Efficient: By distributing the data, Hadoop can process it in parallel on |
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| 23 | the nodes where the data is located. This makes it extremely |
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| 24 | rapid. |
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| 25 | * Reliable: Hadoop automatically maintains multiple copies of data and |
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| 26 | automatically redeploys computing tasks based on failures. |
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| 27 | . |
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| 28 | Hadoop implements MapReduce, using the Hadoop Distributed File System (HDFS) |
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| 29 | MapReduce divides applications into many small blocks of work. HDFS creates |
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| 30 | multiple replicas of data blocks for reliability, placing them on compute |
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| 31 | nodes around the cluster. MapReduce can then process the data where it is |
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| 32 | located. |
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| 33 | . |
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| 34 | For more information about Hadoop, please see the Hadoop website. |
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| 35 | http://hadoop.apache.org/ |
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| 36 | |
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