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Big Data, Big Growth, Big Promises

Forrester IT

In the age of the customer , insights-driven businesses use big data solutions to gain business insights, create differentiated customer experiences, and drive competitive advantage. Big data management solutions address data sets that are so large and complex that traditional data processing applications are inadequate.

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Six Security Vulnerabilities with Big Data

IT Toolbox

If you don’t realize big data now is key for business, you’ve been living under a rock. A recent Gartner survey of business leaders found that nearly half had invested in big data technology in 2016, and the big data and business analytics industry accounted for $130.1

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Women In Technology Present: The Promise and Peril of Big Data

CTOvision

On 18 Feb 2016, Women In Technology present "The Promise and Peril of Big Data". Big Data has enormous promise for consumers and organizations alike. Big data makes it easier than ever to listen to, interact with, and connect with customers and respond with better products and services. Bob Gourley.

Big Data 150
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Supercomputing Predictions for 2016

CTOvision

Wondering where supercomputing is heading in 2016? This is something to keep an eye on throughout 2016. Data-Tiering. Cray’s DataWarp products are a few examples of attempts to combine software and hardware innovation around data-tiering. Katie Kennedy. Here are some well informed assessments brought to you by Cray.

Big Data 150
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InterConnect 2016: IBM’s Examination Of All Things Cloud, AI, Mobility, Big Data, Robotics, IoT, Cyber

CTOvision

InterConnect 2016 is 21-25 February at the MGM Grand & Mandalay Bay in Las Vegas (side note: this event attracts so many forward thinking technologists and business leaders that there are very few venues large enough to hold it). Bob Gourley.

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Why Agile Data Science Practices Drive Big Data Impact

Social, Agile and Transformation

With the hot weather in the US northeast this weekend, I was able to catch up on some reading and research around big data, data science, and agile. In thinking about the culture required to leverage big data capabilities and data science programs, I found some interesting data worth sharing.

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Regarding Big Data, One Manager’s “Resistance” Is Another Manager’s “Caution”

CTOvision

M att Turck has some interesting things to say about “big data” in “ Is Big Data Still a Thing? The 2016 Big Data Landscape).” Add in sensor based and unstructured data and you have situation where traditional data management thinking may prove inadequate. How much time will it take?

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