Centralized Data sets

Centralized Data sets

Centralized Data sets

Problem

One of the major problems in learning any data oriented technology is to have centralized test data. A learner spends a lot of time figuring out where the data is and how to transfer it to the right place. This problem is many fold when it comes to learning technologies around Big Data. Big Data, as the name suggests, means that the data has huge volume, velocity, or variety.


CloudxLab Advantage

Having centralized data sets on a Hadoop Distributed File System (HDFS) has multiple advantages such as

  1. No more rummaging around for data to run a test on
  2. Reduces time taken in transport of the data. Saves bandwidth
  3. Reduces duplicacy of the datasets
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