March 6, 2014
Do you know how many olives it takes to make that tablespoon of olive oil you just doused on your lunch salad? It takes a big pile of olives. More than 50.
March 4, 2014
Forrester recently released its 2014 Forrester Wave for Big Data Hadoop Solutions, the first update since the inaugural Forrester Wave on Hadoop in 2012. Once again, IBM was named a leader for IBM InfoSphere BigInsights, recognized for our enterprise capabilities that contribute to a complete big data solution.
February 26, 2014
At a recent IBM Big Data Integration and Governance Forum one of the questions from the audience was “Why do I need to do big data—what if I ignore big data?”
February 17, 2014
Most organizations are feeling the pressure to move big data initiatives past the discussion phase and toward well-planned projects. To what extent can a complete view of all of the available information help organizations gain deeper insights and make better decisions?
February 7, 2014
It happened again today.
January 29, 2014
Customers expect more: they expect smart, they expect simple, they expect fast and they expect value. This transcends all industries, and big data is helping enterprises rise to this challenge.
January 13, 2014
In our recent #BigDataMgmt Twitter chat, Professor Kirk Borne, data scientist, and Neil Raden, CEO and principal analyst of Hired Brains, joined us as we debunked some of the big data myths.
January 2, 2014
Year-end predictions are like yule logs: everyone wants to throw their own on the communal fire to see if it makes a joyous crackle.
December 20, 2013
In 2013, we learned all about Hadoop as Subject Matter Experts from around the globe put pen to paper and graciously mapped their angle on this game-changing open source software framework.
December 17, 2013
Quick. Name one difference between data and big data. It’s bigger, of course, and it comes in faster, in more shapes and sizes. Sometimes it’s hard to sort the trustworthy from the noise. For a big data developer, the trick is to find tools and technologies that can be applied to traditional methods of processing and analyzing data.