Smartphones and other mobile gadgets have become integral to every aspect of modern life. So it’s no surprise that enterprises everywhere are starting to tap into them as a rich source of data for deep analysis in Hadoop, NoSQL and other big-data platforms. By the same token, mobile devices are
Most of us don’t think of big data as a personal resource for mobility, but, clearly, that thinking will need to change. Smarter mobility depends on the ability to serve all of our mobile devices from an intelligent big-data infrastructure
Cyberspace is today’s new battleground, and cyber security continues to be a top imperative for both enterprises and governments. This is where big data comes in. IBM® Security QRadar® uses big data capabilities to help keep pace with advanced threats and prevent attacks before they happen. It
“The hardest part of any journey is taking that first step.” - Unknown
No, Tony Robbins is not guest blogging today. And it’s a shame, too, because if he were, he would come up with plenty of inspiring quotes designed to help you overcome the perils of a big data journey. He’d motivate you to build
Infographic: Certain things cannot be overlooked when dealing with data. Best practices must be instituted for the care of big data just as they have long been in small data. Before enjoying big data's amazing analytical feats, you must first get it under control - with tools that are up to the
Will this be the year of the “big data hybrid”? What will become of cross-scale architectures and next best action? Will governance finally take center stage? And will data scientists still be sexy? James Kobielus looks at all this and more in his predictions for 2013.
Can you tell that this:
Is the same as this:
This is a very simple application, and I still had to shrink the source code down to fit on the page.
What do you think is easier: typing in a few hundred characters or dragging a box onto a graph and dragging lines to connect it up? Do you know all
During a recent deep dive into some holiday marketing and retail research, it occurred to me that Santa’s job at the North Pole must generate a substantial amount of data. The question I came to was this: did he even know it? If so, was he using the data to improve distribution procedures and
Closing the big data talent gap requires tackling the problem from both sides: the people and the technology. Adequately training the data scientists of tomorrow is an obvious and necessary step, but what about the non-data scientists? And what about the technology side? What can we do to make the
When thinking of use cases for big data analytics, consider your need for immediacy. Do you have the need to know now, not just the ability to know now? In other words, would you do something differently at that moment if you knew the answer immediately?
What if you could learn what’s happening as it’s happening, and use what you learn to change what happens next? Sounds like a futuristic sci-fi movie itself, doesn’t it? But it’s not only possible now, it’s happening - even in an industry that hasn't changed much in 50 years.
In Part I of this series, we looked at the key considerations for an analytic enterprise to stay competitive in today’s world, and in Part II we discussed how those translated into imperatives for a supporting big data platform. In Part III we covered how IBM applied those considerations and
Energy and utility companies face increasing pressure to accurately predict the supply of energy attributable to renewable resources. By factoring in weather and other key variables, utilities can determine their capital investments and where and when to deploy new generation assets. They also seek
In Part I of this series, we looked at the key considerations for an analytic enterprise to stay competitive in today’s world, and in Part II we discussed how those translated into imperatives for a supporting big data platform. In this post we will cover how IBM has applied those considerations