John McPherson, Distinguished Engineer from IBM Research, introduces the Hadoop platform. This is part 1 of a 3 part series in which John discusses Hadoop, the Big data Ecosystem, use cases and aspects of Big Data that IBM research are focusing on.
Text analytics is a key feature of IBM's big data platform. In part one of this two-part series, Vijay Bommireddipalli, a Big Data Solution Architect, gives us an introduction to text analytics and IBM's capabilities in this area.
In this blog, we will cover how to select, staff and plan your first big data project. Our recommendations are based on many years of experience that we have had working with a wide variety of customers in several industries. We won’t focus on specific technologies. Instead, we will examine the
Okay, I’ve bitten my tongue for as long as possible, and I need to get this off my chest. Most, and by most I mean at least 85% of the social media big data initiatives I see are ultimately going to under-deliver their expected ROI or eventually be discarded as not useful enough. I was reminded of
James Kobielus recaps the July 24 big data tweetchat, sharing insights from Pacific Northwest National Laboratory, Trident Marketing, TDWI and others. Find out how they started their big data initiatives, their results to date and advice for others.
One of the myths I deflated a few blogs ago was this prevailing notion that, as I expressed then, "data scientists are just an elite bunch of precious eggheads."
Well, maybe I was slightly exaggerating the myth for comic effect, but that statement, in spirit, sums up how traditional business
Utility companies are facing a step change in the industry from many factors at once: social and political pressures on generation, increasing data volumes from smart grid and advanced meter infrastructure (AMI) technologies and sweeping regulatory changes amongst. Evolving technology in the