title: Data motion in Cassandra/HDFS and Spark
body: <p>When designing a distributed storage and analytics architecture, is it a common usage pattern to run an analytics engine on the same machine as the data nodes? <strong>Specifically, would it make sense to run Spark/Storm directly on Cassandra/HDFS nodes?</strong></p>
  
  <p>I know that MapReduce on HDFS has this sort of usage pattern since <a href="http://docs.hortonworks.com/HDPDocuments/HDP2/HDP-2.1.3/bk_using-apache-hadoop/content/yarn_overview.html" rel="nofollow">according to Hortonworks</a>, YARN minimizes data motion. I have no idea whether this is the case with these other systems though. I would imagine it is since they seem to be so pluggable with each other, but I can't seem to find any information about this online.</p>
  
  <p>I'm sort of a newbie on this topic, so any resources or answers would be greatly appreciated.</p>
  
  <p>Thanks</p>