Blogs

What Skills are Essential for Big Data?

June 13, 2012 | by James Kobielus, Big Data Evangelist, IBM
The planetary economy now spins on an axis of big data. Each of us feels pressure to evolve our skills in order to stay ahead of the big data curve. We do this both to remain employable and to seize new opportunities for professional and personal growth.

Week's Worth of Koby Quick-Hits June 4th - 8th, 2012

June 11, 2012 | by James Kobielus, Big Data Evangelist, IBM
Here are the quick-hit ponderings that I posted on the IBM Netezza Facebook page this past week. I went deeper on machine learning, continued my meditation on all-in-memory, put out some more Hadoop thoughts in advance of next week's Hadoop Summit (where IBM's Anjul Bhambhri will speak on...

Next Best Action in Real Time: The True Test of Big Data

June 11, 2012 | by James Kobielus, Big Data Evangelist, IBM
In business, every moment is a moment of truth. Every moment can spell the difference between keeping a customer or losing them to a rival that makes them a better offer or delivers a superior experience. And no two moments are ever the same. If you don't seize that tiny window of opportunity, you'...

Exploring Uncharted Data: Is there any insight out there?

June 8, 2012 | by Dai Clegg, VP product marketing, Acunu
The biggest table in any Netezza database that I know of has over 600 billion rows!! That’s the claim made by our customer, Catalina Marketing. So although most of the data in the world is not relational, there is a huge amount of relational data and IBM technologies are more than capable of...

Informing the Demand Side: Opening Data Warehouses to Collaborative Applications

June 8, 2012 | by Mike Kearney, Sr. Product Marketing Director
As our populations grow in a world of limited resources governments and individuals seek ways to lighten our load on the planet.  In the Smart Grid R&D Program, PNNL investigates how modernizing the electric grid can help the US meet its carbon management goals. In The Smart Grid: An Estimation...

Why Static Stinks

June 7, 2012 | by Tom Deutsch, Program Director, IBM
Imagine if Netflix never updated your movie preferences, or even worse, never asked what you liked in the first place. Imagine if your spam folder never adapted to the changing inbound spam. Or finally, imagine that your Internet radio station presented a fixed playlist that didn’t bother to ask...

Healthy Data: Getting with the Program

June 6, 2012 | by Dan Wolfson, Distinguished Engineer, IBM
In my last post, we reviewed what we mean by "healthy data" for Smarter Analytics. In this post we'll talk a bit about an overall program for achieving healthy data.   Getting to healthy data is a bit like getting to a healthy body - a problem many of us are all too familiar with. It is an ongoing...

Reuse, Recycle, Compost: A New Level of Insight into Garbage

June 5, 2012 | by James Kobielus, Big Data Evangelist, IBM
Garbage is a precious resource. About 80% of the ton of trash that the average family discards every year could be recycled into useful materials, rather than ending up as pollution that hurts our health and destroys the environment. Global sustainability won't happen unless we optimize our local...

Week's Worth of Koby Quick-hits: May 28 to June 1 2012

June 4, 2012 | by James Kobielus, Big Data Evangelist, IBM
Here  are the quick-hit ponderings that I posted on the IBM Netezza Facebook page this past week. After I got back from the Memorial Day break, I had a few additional thoughts on experience (measuring it), Big Data analytics on smartphones (envisioning it), and next best action (modeling it). I...

Data Scientists: Illuminate Your Patterns with Pictures

June 4, 2012 | by James Kobielus, Big Data Evangelist, IBM
Scientific inquiry is all about finding non-obvious patterns in observational data. It's no surprise that that is also the core of data science.  This post examines that phenomenon in data science.