InfoSphere Streams
New Big Data Zone on IBM developerWorks
April 19, 2013
We’ve got a new zone on developerWorks, dedicated to big data and to architects and developers looking to build analytics applications to derive insight from that data. Read More
The Age of Agile: Beyond Big Data
April 4, 2013
Big data has its discontents. The backlash is a necessary reality-check in an otherwise vibrant arena. Often in this industry, when a technology is vogue, the hype can interfere with rational decision making, both among users and among solution providers. Read More
Saving Lives at 1,000 Data Points Per Second
March 27, 2013
The University of California, Los Angeles (UCLA), announced their work to develop a bedside early-warning system for brain pressure in traumatic brain injury patients. At the core of this system is InfoSphere Streams, which can ingest and analyze, in real-time, huge volumes of fast-moving data – the very kind of data that streams off of patient monitoring equipment.
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Facing the Challenges of Cyber Security
March 6, 2013
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 helps uncover hidden relationships within massive amounts of security data, using proven analytics to reduce billions of security events to a manageable set of prioritized incidents.
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2, 4, 6, 8 - How Do You Accelerate?
February 13, 2013
“The hardest part of any journey is taking that first step.” - Unknown Read More
Streams Application Development: A Graph is Worth a 1000 Lines of Code
December 21, 2012
Can you tell that this:
Is the same as this: Read More
Addressing the Big Data Skills Gap
December 6, 2012
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 technology more accessible to the people? If companies are saying that they don’t have the in-house skills to do something with big data, then doesn’t that imply that the existing big data technologies are just too complicated?
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Lights, Camera … Social Sentiment?
November 28, 2012
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.
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Part IV: A Flexible Platform-Based Approach to Big Data
November 20, 2012
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 Read More
Energy and Utilities - Switching to Big Data
November 14, 2012
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. Read More
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