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Big Data Evangelist
As IBM's big data evangelist, James Kobielus is IBM Senior Program Director, Product Marketing, Big Data Analytics solutions. He is an industry veteran, a popular speaker and social media participant, and a thought leader in Big Data, Hadoop, enterprise data warehousing, advanced analytics, business intelligence, data management, and next best action technologies
May 16, 2013
Data scientists such as Nate Silver have recently begun to receive rockstar status in the big-data universe. That’s a tricky status to sustain for long, because it inevitably inspires popular backlash.
May 14, 2013
Big data is not just about scaling your data analytics processing platforms to keep up with the onslaught of new information.
May 9, 2013
Putting a dollar value on data is a very tricky endeavor. Data is only as valuable as the business outcomes it makes possible, though the data itself is usually not the only factor responsible for those outcomes.
May 3, 2013
Boston’s recent ordeal demonstrated to everybody that civilization now has a powerful new tool for constant surveillance. Whether we use it in the cause of catching the bad guys or letting the bad guys control our lives is another question.
April 22, 2013
When someone has suffered an irreversibly life-altering event, such as a traumatic brain injury, predictive maintenance of that impaired state is the best we can hope for. Of necessity, people with traumatic brain injuries must be kept under constant monitoring.
April 18, 2013
It turns out, borrowing key concepts from legendary business management gurus can play an important role in developing your big data strategy. Big Data Evangelist James Kobielus shares some of his favorite kernels of wisdom from the experts.
April 12, 2013
Data journalist? Something about that nouveau term feels a bit pretentious—and unnecessary.
April 11, 2013
Hadoop is fundamental to the future of big data. Users are adopting Hadoop for strategic roles in their current data warehousing architectures, such as extract/transform/load (ETL), data staging and preprocessing of unstructured content.
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.