We are very much aware that the traditional data storage mechanism is incapable to hold the massive volume of lightning speed generated data for further utilization even though perform vertical scaling. And going forward we have anticipated only one fuel which is nothing but DATA to accelerate the movement across all the sectors starting from business to natural resources including medical towards rapid growth. But the question is how to persist this massive volume of data to process? The answer is storing the data in a distributed manner in a multi-node cluster where it can be scaled linearly on demand. The former statement is made physically achievable by Hadoop distributed file system (HDFS). Using HDFS we can store data in a distributed manner (multi-node cluster where the number of nodes can be increased in the cluster linearly as data grows). Using hive, HBase we can organize the hdfs data and make it more meaningful as the data become queryable. To accelerate the movement towards growth as mentioned, next hurdle is to govern the data and security implication on this huge volume of persisted data. In a single statement, data governance can be defined as the consolidation of managing data access, accountability and security. By default, HDFS does not provide any strong security mechanism to achieve complete governance but with the additional combination to the following approach, we can proceed towards it.
Can be reached for real-time POC development and hands-on technical training at gautambangalore@gmail.com. Besides, to design, develop just as help in any Hadoop/Big Data handling related task. Gautam is a advisor and furthermore an Educator as well. Before that, he filled in as Sr. Technical Architect in different technologies and business space across numerous nations.
He is energetic about sharing information through blogs, preparing workshops on different Big Data related innovations, systems and related technologies.
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