About BigData Storage

The phenomenon of storage of big data is very different from the conventional data storage system owing to its logistical and technical problems (Vaitheeswaran & Arockiam, 2015). There is an increasing interest among the organizations for exploiting the resources of transformed big data from their data storage system. The storage location of big data is not only a location to reposit the data but it strongly represents it as a platform of data. Hence, this section will showcase an essential factor that characterizes the storage system of BigData.

  • • Potential to Truncate Migration of Data: The adoption of data migration is very much large and high in the present system owing to the need of migrating the present data from existing storage system to the upcoming storage system. The process of migration is expensive as the organization will be required to spend money on both existing system and futuristic system of storage as well as it can be also time consuming. Hence, BigData storage system is highly anticipated to possess the characteristics of eliminating data migration problems.
  • • Scalable Capacity: The need of data capacity cannot be predicted by any organization as business requirements changes with evolution of customer’s demands. Hence, a BigData storage system should be scalable to extend its capacity in most cost effective manner in case of increasing size of the data suddenly. BigData approach controls cost of data storage by accomplishing the scale by extracting storage devices and commodity servers of industry standards. However, the task is not that simple, as the operation of scaling up of the capacity should take place without affecting the performance of applications that uses existing storage locations in BigData.
  • • Pervasiveness of Data: Design of BigData storage system must ensure the data accessibility worldwide. It is highly essential that such BigData storage must support distributed data storage system as BigData is usually a bigger stream of massive volume of data with 5V problem.
  • • Supportability of Legacy Silos: In order to maintain higher accessibility and availability of the critical data (defined by urgent requirements of access by clients anytime), the present organizations are creating a novel storage instances for meeting the storage requirement of their growing data. Therefore, an efficient storage of BigData should have better accessibility without any dependency on adhoc interventions. BigData storage should have higher degree of supportability for legacy silos of storage.

Hence, from the above discussion, it can be seen that BigData storage system posses some characteristics which differs them from the conventional data storage system. The conventional data storage system posses the static capacity but BigData storage system posses the capability to increase the capacity in most cost effective manner without any possibility of negative impact performance of data storage in existing storage location. The practice of adopting HyperScale Computing Environment is seen to be used by Facebook, Google, and Apple etc. These organization uses large number of commodity servers with storage system. In case of condition of service outage, the servers are instantly replaced by mirrors. At present, operational tools like Hadoop, MapReduce, Cassandra, NoSQL etc are used a software framework for BigData storage system.

 
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