Big Data Applications Optimize Performance of Application Software
1. Big Data Applications Optimize Performance of Application Software
Big data refers to the exponential growth, availability and use of structured and unstructured
information. According to Gartner, "Big data are high volume, high velocity, and/or high variety
information assets that require new forms of processing to enable enhanced decision making, insight
discovery and process optimization."
As data increases in volume because of new data sources such as social media, multi-petabyte data
warehouses and so on, enterprises need new class of technologies to capture, organize, store,
search, share, transfer, analyze and visualize the huge data sets. This mounts pressure on big data
software companies to come up with big data applications that optimize performance of application
software with minimal end-user support. Though developing big data applications is exciting, the big
data companies encounter road blocks that make the endeavor challenging.
One of the greatest challenges is that big data software companies have a tendency of over
engineering their hardware platform or appliance. An over engineered hardware platform, as
everybody knows, translates into increased costs, poor performance and a waste of valuable time.
This calls for big data partnership with companies who are passionate about designing and building
hardware that costs less but performs greatly. Here is a look at the features of one of the servers
built by best of the breed server appliance manufacturer keeping in mind company requirements.
● Single socket H2 (LGA 1155) supports Intel® Xeon® E3-1200 & v2 series, 2nd Gen Core i3
processors*
● Intel® C202 PCH Chipset
● 2x Internal 2.5"/3.5" HDDs
● 1x PCI-E 3.0* x8 Full-height slot
● Up to 32GB DDR3 ECC 1333MHz / 1600MHz* UDIMMs in 4 sockets
● Intel® 82579LMand 82574L, 2x Gigabit Ethernet LAN ports
● IPMI 2.0 on Dedicated LAN port
● 6x SATA 2.0 with RAID 0, 1, 5, 10
● 350W Gold Level Power Supply
2. ● Disk-on-module (DOM) power connector
Collaboration with big data partners adept in developing customizable dedicated servers and clusters
help big data software companies in creating the most innovative and powerful software on the
hardware platform, which can be delivered to end-users to easily install and seamlessly begin using,
thus accelerating time to market, reducing support costs, and opening up multiple sales channels.
Another important advantage is that under normal circumstances, server appliance manufacturers
require a minimum run. However, a best of the breed solution provider with their scale-up and
scale-down approach helps to lessen the stress of over committing the cash on inventory. This
enables big data software companies to deliver high quality systems to their customers without the
risk of committing to a minimum purchase order.
Thus, with a good partner, big data software companies can help companies to deal with big data
effortlessly.
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