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
What do you get when you put a dozen big data pros around a table to discuss the real (not over-inflated) effects of big data on the organization? An honest discussion around what big data is and what it isn’t, what Hadoop can accomplish and what it cannot. Where did
If you're looking for an honest discussion around big data and IT from one technologist to another, look no further than the recent Forbes article, "SAS CTO On IT And Big Data Analytics."* In it, Keith Collins discusses Hadoop, shadow IT and more. Three excerpted points you won't want to
Accessing computing resources must feel like playing Monopoly in some organizations. If you can out-game fellow analysts or have more-than-a-little luck, you get your report when you need it. If you can’t, you don’t pass Go and have to wait your next turn in the queue . . . whenever
John Taylor likes computer data the way he likes big trout: here, there or anywhere. Which is perfectly natural, considering he’s the data analyst in the Inland Fisheries Department at Texas Parks and Wildlife. Taylor describes his unspoiled enthusiasm for big data and big fish in this sendup of Dr. Seuss that
