Big data is everywhere and so enterprises are slowly learning to create value out of it. Going with the flow, in order to take best advantage of big data, real-time analysis and reporting is needed by enterprises. And this is where an efficient storage and processing is needed to contain the said massive data.
For that reason, here are some of the considerations to make while shopping for big data storage.
Security- In the field of data storage, security and sensitivity are huge issues. This is due to the fact that the value of data can only be protected, if it is isolated from intrusions, thefts, cyber hacks and corruption. Here’s where data scientists need to take extra care due to privacy and regulatory compliance. Already many businesses are moving from public cloud environments and choosing to store the data on private cloud or on-premises protected infrastructure. Businesses could also consider using techniques such as attribute based encryption and also apply access controls to protect data from falling into wrong hands.
Data Transfer Rates- In fast growing business environments, data gathered from multiple primary sources need to be quickly migrated to multiple sources to enable quick and real time analysis. Enterprise IT can struggle moving massing amounts of data at speed with traditional methods, as they usually create a lag in this process which is not acceptable. This is where the use of public clouds for big data storage has been taking bad hitting due to data transfer rates issues. So, many businesses for this reason are choosing high performing computing platforms. IT systems grappling with big data need to design their computing systems to accommodate the changing requirements along with the traditional requirements of high availability, reliability, and backup.
Processing- Big data explosion is making cloud providers to handle extra storage and processing needs. At the same time, it also ups the need for high end performance. Traditional hard disk drives are proving to be inadequate for current and future needs as faster access to data is the obligation at present. In order to address the growing need of higher and faster performance, many cloud providers are turning to flash storage as it clearly wins over HDD on performance scale. While there is the drawback of higher costs with flash usage, as prices come down the usage will increase. Experts seem to be predicting that the cost of flash storage will soon be comparative with HDD in the very near future and so going for all-flash based platforms or hybrid flash platforms can prove as an astute move.
Data Volume- The capacity threshold of traditional storage systems will easily exceed when large volumes of data is required to be stored. This is due to the fact that such storage systems lead to storage sprawl as they need to handle storage silos, will need multiple points of management, and will consume large amounts of floor space, power and cooling. To deal with such issues enterprises are adopting object-based storage systems to easily scale to large volumes of data objects within a single managed system. These systems, with their robust metadata, enable easier content management and tracking. Also usage of dense, low cost disk drives can optimize the physical storage space.
This is where big data and potential analytics market are creating opportunity for big companies like EMC and NetApp as they are offering dedicated storage systems for Hadoop Environments. These systems tackle the scalability and data protection issues which were prominent with HDFS.
However, there is no one solution which fits all approach and so be very careful while finding a solution for big data, because some companies have invested a lot and are now feeling the pinch of the investment——a different story altogether which will be updated shortly.