A large percentage of you are embarking on a common journey; data is growing at unprecedented rates and you are struggling to manage it. Surprising? Not at all given the number of applications and social media outlets that offer value solely based on flexible and instant access to data. However, a gap exists in the traditional Storage-as-a-Service (SaaS) offerings. You want to control storage costs, while also providing 24/7 access to the data. You also are concerned about security, power, compliance and return on investment (ROI) when evaluating storage infrastructure options.
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It's exciting to see the industry begin to rally around a best-practice big data stack - a construct on which to build reference architectures for scalable, secure big data systems.
Open dialog on what constitutes "the stack," as recently explored in this CIO.com article, increases the likelihood of developing repeatable processes that result in big data successes - and that's an outcome we should all be striving for.
As 2014 gets into full swing, Hadoop is increasingly being used for applications that are integral to daily business operations. No longer is Hadoop viewed by some organizations as just a platform for big data proof-of-concept applications. IT leaders should be developing a strategy for production-ready infrastructure, now, so they are ready to leverage the emerging technical advances that make Hadoop more capable of supporting business-critical big data applications.
It's the New Year: A time to celebrate and take stock of the trends and opportunities paving paths to bigger, better things on the horizon.
At Savvis, we are ringing in 2014 with a look at the tech trends poised to impact the way businesses approach IT in the months ahead. Expanding on our recent 2014 cloud predictions, here are a few more developments our experts say to watch for:
From email to web clicks, call logs to geo-tracking, companies continue to amass huge amounts of data. But until recently, most of that data laid dormant until an employee could pull it into a weekly or monthly report.
This is changing with the advent of in-memory databases that enable near real-time reporting by running at exponential speeds.