Hadoop

It's time to use Hadoop for social good—are you in?

November 24, 2014
Last month I introduced the Big Data for Social Good Challenge and since then it has opened for submissions with data sets from around the globe plus lots of prize winning opportunities. You might have seen that Chip and Jason are in—are you? Read More

Get started with the Big Data for Social Good Challenge

November 13, 2014
Supporting the social initiatives important to IBM employees and their families and friends is important to IBM. Now, big data technology is giving IBM and its people another opportunity to serve our communities and the world.  Read More

IBM + Hadoop = Recipe for success

November 12, 2014
What a shame. Most businesses aren’t taking advantage of their data, leaving them hungry for success. According to Forrester Research analyst, Michele Goetz, only 12 percent of available data is used. If I am any good at math, that means there is a lot of data that is not being used.   Read More

Three information infrastructure myths debunked

November 4, 2014
The Information Management keynote session at IBM Insight 2014 brought new product offerings, memorable stories and answers to some common information infrastructure myths. Read More

Big data for social good, not for profit

October 23, 2014
Now that the Ebola virus is sitting in our backyard, the entire country is on high alert—and rightfully so, as it's no longer a disease that's plaguing people continents away, in little known countries. WHO indicates that there are 9216 Ebola cases with 4555 deaths. My first thought when I look at these statistics is: where is big data in the Ebola equation?  Read More

What’s the scoop on Hadoop?

October 23, 2014
“Hadoop is unstoppable as its open source roots grow wildly and deeply into enterprise data management architectures,” Forrester analysts Mike Gualtieri and Noel Yuhanna wrote recently in The Forres Read More

How do you find and define your customers in a big data environment?

October 23, 2014
Every day hundreds of articles and blogs are written about the theoretical value of big data, but many don’t offer actionable specifics. At IBM Insight on October 28, we are correcting this historical shortcoming and showcasing how big data (specifically Big Match) is enabling a single view of a customer in a Hadoop environment.   Read More

Critical success factors in deploying Hadoop across industries

October 20, 2014
Big data (data from many sources, of varying formats, both structured and unstructured) means different things in different industries. But as different as their needs and usage of big data may be, there is one commonality among all industries: the opportunity to plumb big data for better, more informed perspectives on their customers, products, partners, competitors and strategies.  Read More

Collaborations and correlations in the common cause

October 16, 2014
I'm impressed with initiatives in the U.S. data scientist community to volunteer their time to worthy causes at home and abroad. Clearly, most of the data scientists who participate in communities such as New York-based DataKind have day jobs to pay the bills. But they see larger humanitarian causes (reuniting refugees, curing infectious diseases, feeding hungry populations and guaranteeing civil rights to the disenfranchised for example) that can benefit from the smartest data scientists applying their best efforts and most sophisticated tools to the task. To sustain the engagement of the data science community in these common causes, what's needed is for people and institutions to open source all of their decision-support assets: data, analytics, tools, platforms and, of course, expertise. Read More

UDF: Tiny acronym, big deal in big data

October 16, 2014
It’s easy to understand why big data is intimidating as the whole gang of JSON, SQL, YARN and UDFs (user-defined functions) invoke glazed eyes and thoughts of extraterrestrial technologies. So, even to the uninitiated, what is the big deal about UDFs? Read More

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