doap_DataFu.rdf

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         xmlns="http://usefulinc.com/ns/doap#" 
         xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" 
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  <Project rdf:about="http://datafu.apache.org/">
    <created>2014-08-04</created>
    <license rdf:resource="http://spdx.org/licenses/Apache-2.0" />
    <name>Apache DataFu</name>
    <homepage rdf:resource="http://datafu.apache.org/" />
    <asfext:pmc rdf:resource="http://datafu.apache.org" />
    <shortdesc>Apache DataFu is a collection of libraries for working with large-scale data in Hadoop. The project was inspired by the need for stable, well-tested libraries for data mining and statistics.</shortdesc>
    <description>Apache DataFu consists of two libraries:

Apache DataFu Pig is a collection of useful user-defined functions for data analysis in Apache Pig.

Apache DataFu Hourglass is a library for incrementally processing data using Apache Hadoop MapReduce. This library was inspired by the prevelance of sliding window computations over daily tracking data. Computations such as these typically happen at regular intervals (e.g. daily, weekly), and therefore the sliding nature of the computations means that much of the work is unnecessarily repeated. DataFu's Hourglass was created to make these computations more efficient, yielding sometimes 50-95% reductions in computational resources.</description>
    <bug-database rdf:resource="https://issues.apache.org/jira/browse/DATAFU" />
    <mailing-list rdf:resource="http://datafu.apache.org/community/mailing-lists.html" />
    <programming-language>Java</programming-language>
    <category rdf:resource="http://projects.apache.org/category/big-data" />
    <repository>
      <GitRepository>
        <location rdf:resource="https://git.apache.org/repos/asf/datafu.git"/>
        <browse rdf:resource="https://git.apache.org/repos/asf/datafu.git"/>
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    </repository>
    <maintainer>
      <foaf:Person>
        <foaf:name>Matthew Hayes</foaf:name>
          <foaf:mbox rdf:resource="mailto:mhayes@apache.org"/>
      </foaf:Person>
    </maintainer>
  </Project>
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