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大数据
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<p>一些大数据相关的资料。</p>
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  参考资料
  sdescription
  <p>一些参考资料。</p>
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  reference
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    Storm
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#$@text#$@
<p><strong>参考资料：</strong></p>

<ul>
	<li><a href="http://storm.apache.org/">Storm官网</a></li>
	<li>百度百科</li>
</ul>
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    storm
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    Zookeeper
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#$@text#$@
<p>ZooKeeper是一个<a href="http://baike.baidu.com/view/402382.htm" target="_blank">分布式</a>的，开放源码的<a href="http://baike.baidu.com/view/553502.htm" target="_blank">分布式应用程序</a>协调服务，是<a href="http://baike.baidu.com/view/105.htm" target="_blank">Google</a>的Chubby一个<a href="http://baike.baidu.com/view/9664.htm" target="_blank">开源</a>的实现，是Hadoop和Hbase的重要组件。它是一个为分布式应用提供一致性服务的软件，提供的功能包括：配置维护、域名服务、分布式同步、组服务等。</p>

<p><strong>参考资料：</strong></p>

<ul>
	<li><a href="http://zookeeper.apache.org/">官网</a></li>
	<li><a href="http://baike.baidu.com/link?url=0TMKe3I8nlECX-W6XI0pQuW2utNglJuqxP9uRBAixU1YYUIl-Cws9LcA2i2Jo93EMO2yphfH_o40We1-cy3OH_">百度百科</a></li>
</ul>

<p>&nbsp;</p>
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    列式数据库
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<p><strong>列式数据库</strong><span style="background-color:rgb(255, 255, 255); color:rgb(51, 51, 51); float:none">是以列相关存储架构进行数据存储的数据库，主要适合于批量数据处理和即时查询。相对应的是行式数据库，数据以行相关的存储体系架构进行空间分配，主要适合于小批量的数据处理，常用于联机</span><a href="http://baike.baidu.com/view/121511.htm" style="font: 14px/24px arial, 宋体, sans-serif; color: rgb(19, 110, 194); text-transform: none; text-indent: 28px; letter-spacing: normal; text-decoration: none; word-spacing: 0px; white-space: normal; widows: 1; font-size-adjust: none; font-stretch: normal; background-color: rgb(255, 255, 255); -webkit-text-stroke-width: 0px;" target="_blank">事务</a><span style="background-color:rgb(255, 255, 255); color:rgb(51, 51, 51); float:none">型数据处理。</span></p>

<p><strong>参考资料：</strong></p>

<ul>
	<li><a href="http://baike.baidu.com/link?url=q9h9TiuiPwTs2oDwaviOshHqsQXNWQIa5h0YtvssbhdecNtu3q1AwX9VzYeXsv3hc9BpAu8f6q5OHg5mdpLju_">百度百科</a>&nbsp;</li>
	<li>&nbsp;</li>
</ul>
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    Spark
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#$@text#$@
<p><span style="background-color:rgb(255, 255, 255); color:rgb(51, 51, 51); float:none">&nbsp;&nbsp;&nbsp; Spark是UC Berkeley AMP lab所开源的类Hadoop MapReduce的通用并行框架，Spark，拥有Hadoop MapReduce所具有的优点；但不同于MapReduce的是Job中间输出结果可以保存在内存中，从而不再需要读写HDFS，因此Spark能更好地适用于数据挖掘与机器学习等需要迭代的MapReduce的算法。</span></p>

<p><strong>参考资料：</strong></p>

<ul>
	<li><a href="http://spark.apache.org/">官网</a></li>
	<li><a href="http://baike.baidu.com/link?url=b-BRkA5g9JckvADkczaSyNDNkR-ROVAwOrervblnQtW9czA4gjC-j4bXx37M_cxhjyTORvC4oguuyNksXpxs05GveayyGkZkmNPyqAbz6Ui">百度百科</a></li>
</ul>

<p>&nbsp;</p>
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