According to Gartner, worldwide big data IT spending will grow from $27 billion in 2012 to $55 billion in 2016. Big data comes as a direct consequence of the digital ecosystem we have built — an ecosystem used more broadly, and in more ways, than ever before. The question is: Are we really getting as much value from that information as we could, and should — especially in the process of making key decisions?
In business today, decision making is both an art and a science, but it seems to me that the science could often stand considerable improvement. Massive data volumes are commonly seen as a challenge to IT infrastructures; they should instead be seen as a vital business resource that can be tapped to make better decisions and make them faster. And to fulfill that promise, new infrastructure is required — infrastructure that is capable of shifting through data in the highest volumes, from the broadest number of sources, and that deliver accurate, actionable insights in the shortest possible time. A Software Defined Infrastructure is a new value which is created for everyone involved — not just the organization, but also its business partners and alliances and, of course, its customer base to tap big data challenges. The Software Defined Infrastructure allows organizations to unlock the key business insights and predict outcomes through real-time analysis of structured and unstructured data.
The Software Defined Infrastructure or Environment is a silver thread running through organization’s strategies going forward. It's with this context in mind that organizations have embraced SDE as not just a solution, but also a primary opportunity in their businesses today. And if you're interested in answering the knock of this opportunity, you'll probably want to come up to speed on IBM Software Defined Environments (SDE) capabilities, which can handle data in all the ways organizations need most:
Volume — even in the highest levels, such as public Twitter feeds or stock performance/trending
Variety — structured and unstructured data, including social media data
Velocity — data that changes very rapidly, and thus requires extraordinary performance from an SDE to understand.
Velocity, variety and volume, the most important aspect that a technology should have is seamless integration with the existing legacy systems. Volume and velocity can be automated but when it comes to variety of data sources, setting up a different system for every platform has to be done manually. The problem is that traditional IT environments simply don’t scale as well as they should. Instead of delivering up-to-the-minute analysis, there is a lag between the reality they describe, and the reality that actually exists. Ideally that lag would be as low as possible — even zero.
IBM Software Defined Environment is as scalable as you need it to be, for the highest possible performance. IBM's approach with SDE was to leverage the best available technology in order to make that near real-time analysis happen rapidly and easily. IBM SDE provides a flexible, low-cost, and a highly scalable environment capable of handling the massive number-crunching necessary to find patterns in structured and unstructured data. Built on open standards and communities, IBM SDE can allocate work to as many resources as the organizations wants by automating the entire data center infrastructure and enable organizations to simplify by providing centralized management of heterogeneous IT resources and better visibility of information across business function.
It’s worth noting that a Software Defined Environment delivers a Data Ready IT infrastructure that is simplified, responsive and adaptive to business demands and delivers more actionable insights to guide decision-making — faster. Re-architect your IT infrastructure now with Software Defined Environments to build an infrastructure that is radically simpler and more efficient while delivering the agility and flexibility to support the volumes, variety and velocity of your data!
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IBM Systems and Technology Group