During a recent conference, I had the privilege of speaking with clients from many different organizations about their big data challenges. Most were very excited and just starting down the path of harnessing its power. Tempering this excitement was a concern about the complexity of big data
Media and entertainment companies are in the midst of a fundamental shift in audience engagement. Traditionally, the best way to reach key audiences was to broadcast to millions of people. But in the age of streaming content, social media, and mobile devices, audiences are now looking for a more
IBM data scientists break big data into four dimensions: volume, variety, velocity and veracity. This infographic explains and gives examples of each.
For updated figures, please refer to the infographic Extracting business value from the 4 V's of big data.
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"Data in motion" is one of the key aspects of big data. Being able to harness and use data in real time as it flows through sensors and systems has many applications, from improving call-center operations to preventing manufacturing malfunctions. Watch as Roger Rea, product manager of Infosphere
As I wrote in Part 1 of this blog series, big data and analytics can help companies develop the “digital oilfield”— integrated operations that unite operational technology (OT) with information technology (IT) to improve decision making and enhance operational and business performance. Adding
Quality-of-service (QoS) is one of the most paradoxical metrics in the telecommunications industry. “Quality” of the customer experience is normally measured through surveys and logged feedback, but plenty of data can lead to good quantitative measures.
The UCLA Department of Neurosurgery analyzes brain wave data to predict the rise of deadly brain pressure as part of a National Institute of Neurological Disorders and Stroke study. Knowing in advance that brain pressure could potentially rise in TBI patients gives doctors more time to prevent
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
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
Did you resolve to learn more about big data in 2013? Boost your learning by checking out some new resources you may have missed on IBM Data Magazine. Some of our very own Big Data Hub authors have published pieces on big data topics and solutions.
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