The Google Flu Trends application has received negative press since 2013 over its inability to accurately detect flu outbreaks. The latest critique, “The Parable of Google Flu: Traps in Big Data Analysis,” from Science magazine compares Google Flu Trends data to CDC data and dissects where the Google analysis went
Have you ever wondered how extracting value from big data might be like skateboarding? Really, it never crossed your mind? Actually, to be honest I had never considered it either, not even one little bit. At least, not until I watched a skateboarding legend explain, “The Art of Good Practice”
From time-to-time marketers, journalist, and thought leaders find ways to describe things in a new way. It’s a time-honored tradition guaranteed to attract eyeballs and sell books. Lately there has been a lot of buzz about the Internet of X, a way of describing a uniquely identifiable collection of objects
Twas the night before "big data," when all through the data center Not an IT supervisor was stirring, not even the help desk on-call. The servers where all humming along nicely in hopes Big data would soon be there. The business users were nestled all snug in their offices
If you look up Paul Kent on LinkedIn, you’ll find a two-word description for his job at SAS that says, simply: Chasing elephants. Are you picturing a Disney cartoon? Or an over-sized circus act? What if I told you that Kent’s official title is SAS VP of Big Data? Now,
How does Hadoop fit into your IT architecture? Does it replace your data warehouse, or complement your EDW? How can you access data in Hadoop? And what is the best way to take advantage of the parallel processing capabilities of Hadoop for advanced analytics? These and other questions are answered
Yes, we have all heard about the 3 V's of big data by now. Or the 4 V's or possibly 5 V's, depending on who you ask. However, I would argue the value of data isn't necessarily tied to the "volume" part of big data (unless of course you are a
After Mike Olson sold his start up to Oracle, he wanted to do something other than databases. It was 2008 and there was a new open-source software called Hadoop that caught his eye. It was aimed at a new class of data problem, addressing the kind and amount and speed
According to entrepreneur Gilad Elbaz, “The world is one big data problem.” And as a big data researcher and writer, Andrew McAfee is staking his career on it. McAfee spoke to a crowd of business and industry executives at The Premier Business Leadership Series in Orlando, FL, to put the topic
I first spoke with Jill Dyché in March about her "Big data in big companies" research with Tom Davenport. They had interviewed a handful of organizations, including Bank of America, Wells Fargo, Citibank and UnitedHealthcare. They ended up speaking with executives from more than 20 companies about their big data
