title: Schema verification/validation before loading data into HDFS/Hive
body: <p>I am a newbie to Hadoop Ecosystem and I need some suggestion from Bigdata experts on achieving schema verification/validation before loading the huge data into hdfs.</p>
  
  <p>The scenario is:</p>
  
  <blockquote>
    <p>I have a huge dataset with given schema (having around 200
    column-header in it). This dataset is going to be stored in Hive
    tables/HDFS. Before loading the data into hive table/hdfs I want to
    perform a schema level verification/validation on the data supplied to
    avoid any unwanted errors/exception while loading the data into hdfs. 
    Like in case somebody tries to pass a data file having fewer or more
    number of columns in it then at the first level of verification this
    load fail.</p>
  </blockquote>
  
  <p>What could be the best possible approach for achieving the same?</p>
  
  <p>Regards,
  Bhupesh</p>