title: Can I use Spark without Hadoop for development environment?
body: <p>I'm very new to the concepts of Big Data and related areas, sorry if I've made some mistake or typo. </p>
  
  <p>I would like to understand <a href="http://spark.apache.org/" rel="noreferrer">Apache Spark</a> and use it <strong>only in my computer</strong>, in a development / test environment. As Hadoop include HDFS (Hadoop Distributed File System) and other softwares that only matters to distributed systems, can I discard that? If so, where can I download a version of Spark that doesn't need Hadoop? <a href="http://spark.apache.org/downloads.html" rel="noreferrer">Here</a> I can find only Hadoop dependent versions.</p>
  
  <h3>What do I need:</h3>
  
  <ul>
  <li>Run all features from Spark without problems, but in a single computer (my home computer).</li>
  <li>Everything that I made in my computer with Spark should run in a future cluster without problems. </li>
  </ul>
  
  <p>There's reason to use Hadoop or any other distributed file system for Spark if I will run it on my computer for testing purposes?</p>
  
  <p>Note that "<a href="https://stackoverflow.com/questions/32022334/can-apache-spark-run-without-hadoop">Can apache spark run without hadoop?</a>" is a different question from mine, because I do want run Spark in a development environment.</p>