title: Hadoop Vs Data Lake
body: <p>I heard a new term <strong>Data Lake</strong>. I googled and got that</p>
  <blockquote>
  <p>A data lake is a large-scale storage repository and processing engine. A data lake provides &quot;massive storage for any kind of data, enormous processing power and the ability to handle virtually limitless concurrent tasks or jobs&quot;</p>
  <p>The term data lake is often associated with Hadoop-oriented object storage. In such a scenario, an organization's data is first loaded into the Hadoop platform, and then business analytics and data mining tools are applied to the data where it resides on Hadoop's cluster nodes of commodity computers.</p>
  </blockquote>
  <p>Same thing is done by Hadoop. We have HDFS for Storage and MapReduce for Computation.
  I am little bit confuse about Hadoop and Data lake. What is difference between both. If they are same that why this term arise. Or how to define a data lake.</p>