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  174. <h1>Welcome to Hadoop!</h1>
  175. <div id="minitoc-area">
  176. <ul class="minitoc">
  177. <li>
  178. <a href="#Getting+Started"> Getting Started </a>
  179. </li>
  180. <li>
  181. <a href="#Getting+Involved"> Getting Involved </a>
  182. </li>
  183. </ul>
  184. </div>
  185. <p>
  186. Hadoop is a software platform lets one easily write and run
  187. applications that process vast amounts of data.</p>
  188. <p>Here's what makes Hadoop especially useful:</p>
  189. <ul>
  190. <li>
  191. <strong>Scalable:</strong>
  192. Hadoop can reliably store and process petabytes.</li>
  193. <li>
  194. <strong>Economical:</strong>
  195. It distributes the data and processing across clusters of
  196. commonly available computers. These clusters can number into the
  197. thousands of nodes.</li>
  198. <li>
  199. <strong>Efficient:</strong>
  200. By distributing the data, Hadoop can process it in parallel on
  201. the nodes where the data is located. This makes it extremely
  202. rapid.</li>
  203. <li>
  204. <strong>Reliable:</strong>
  205. Hadoop automatically maintains multiple copies of data and
  206. automatically redeploys computing tasks based on failures.</li>
  207. </ul>
  208. <p>
  209. Hadoop implements <a href="http://wiki.apache.org/lucene-hadoop/HadoopMapReduce">MapReduce</a>,
  210. using the Hadoop Distributed File System (<a href="hdfs_design.html"><acronym title="Hadoop Distributed File System">HDFS</acronym></a>) (see figure below.) MapReduce divides
  211. applications into many small blocks of work. HDFS creates
  212. multiple replicas of data blocks for reliability, placing them on
  213. compute nodes around the cluster. MapReduce can then process the
  214. data where it is located.
  215. </p>
  216. <div id="" style="text-align: center;">
  217. <img id="" class="figure" alt="architecture" src="images/architecture.gif"></div>
  218. <a name="N1003A"></a><a name="Getting+Started"></a>
  219. <h2 class="h3"> Getting Started </h2>
  220. <div class="section">
  221. <p>
  222. The Hadoop project plans to scale Hadoop up to handling thousands of computers. However, to begin with you can start by installing in on a single machine or a very small cluster.
  223. </p>
  224. <ol>
  225. <li>
  226. <a href="documentation.html">Learn about</a> Hadoop by reading the documentation.</li>
  227. <li>
  228. <a href="releases.html">Download</a> Hadoop from the release page.</li>
  229. <li>
  230. <a href="api/overview-summary.html#overview_description">Install and configure</a> Hadoop. Scroll down the page.</li>
  231. <li>
  232. <a href="mailing_lists.html">Discuss it</a> on the mailing list.</li>
  233. </ol>
  234. </div>
  235. <a name="N1005F"></a><a name="Getting+Involved"></a>
  236. <h2 class="h3"> Getting Involved </h2>
  237. <div class="section">
  238. <p>
  239. Hadoop is an open source volunteer project under the Apache Software Foundation. We encourage you to learn about the project and contribute your expertise. Here are some starter links:
  240. </p>
  241. <ol>
  242. <li>See our <a href="http://wiki.apache.org/lucene-hadoop/HowToContribute">How to Contribute to Hadoop</a> page.</li>
  243. <li>Give us <a href="issue_tracking.html">feedback</a>: What can we do better?</li>
  244. <li>Join the <a href="mailing_lists.html">mailing list</a>: Meet the community.</li>
  245. </ol>
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