The VMWorld 2015 conference witnessed data reduction as the most buzzing topic among its attendants. In the modern data driven tech industry, technologies that keep data storage on the cutting edge of innovation are being received with an overwhelming response. One such technological advance in data storage is data reduction, a term that’s been spreading through the market.
“In any storage environment, performance is turning cheap these days. But capacities are proving expensive, especially, in flash driven worlds. This is where data reduction technologies can make a difference on a positive note”, said Tom Cook, CEO of Permabit Technology Corp.
Tom added that in today’s digital race, much of the data storage world relies on older spinning disk technologies. This is great for capacity but loses out in performance. Meanwhile, flash storage has a huge advantage in performance and has seen a big uptake in the market because of it. Data reduction will only accelerate this trend as it improves flash’s capacity alongside the performance edge. On-demand data reduction technologies are-
Data Deduplication- This technology reduces storage capacity by removing redundant data within individual and across multiple files. This is best fit for environments which have unstructured data sets like home directories and department shares. In General, these IT services require multiple identical copies of data in order to operate. Most deduplication services operate in-line as data is written to the storage platform. A key factor for success with deduplication is the granularity of the block size. A smaller block size provides greater data reduction and will continue to produce savings as data sets mature.
Data Compression- This technique allows to reduce the capacity required to store a block of data by compression with the help of certain algorithms. It works really well for environments like regional databases, including online transaction processing, decision support systems, and data warehouses.
Thin Provisioning- This technique complements the previous two technologies, providing a dynamic form of storage allocation. It allows for more data to be stored on the storage platform by eliminating the pre-allocation of unused capacity that is lost with traditional provisioning. Thin provisioning provides an efficient, on-demand storage consumption model- similar to that of cloud storage.
By conjugating these three – data storage appliance vendors who would love to lead the storage market have to offer products by conjugating these three data reduction techniques. Also for those evaluating storage systems for future buying, should also seek granular deduplication and multiple forms of compression. Also they should also not ignore data reduction calculations that result from thin provisioning.
Storage systems designed with data reduction technologies as a part of their foundation provide maximum performance with capacity reduction. These types of systems should be prioritized when considering one’s next array purchase. Their use will allow organizations to regain, and thus repurpose, data center resources that, in turn, can add decades of new life to resource-constrained data centers.
StoneFly, Inc., a subsidiary of Dynamic Network Factory offers all these data reduction techniques in its storage appliances. The company’s storage products run on network intelligence called StoneFusion Operating system. This patented storage networking operating system architecture, brings in block level storage intelligence to the IP network core. It helps deliver all the benefits of managed SANs such as increased storage utilization through resource consolidation, storage provisioning, centralized access control, volume management, and advanced storage services including Active/Active clustering, mirroring, replication, encryption, snapshots, and Thin Provisioning.
To know more call 510.265.1616 or click on StoneFly Products web page