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
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
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
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
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
The US spends far more than any other nation on healthcare. In 2009, health care costs reached $2.5 trillion dollars - - more than $8000/person and 17% of GDP, up from 13.4% in 2000. Yet, as is widely cited in healthcare circles, the US fails to achieve acceptable results from all this spending,
We all want to implement smarter analytics - to turn information into insights that we can use to improve both our personal and professional lives. Yet we are often faced with a fundamental, often nagging, problem of getting the right data for whatever analytics we are trying to implement. It’s
Optimality is the new nirvana. The promise of "next best action" is that, somehow, we can program the optimal automated response into every business scenario. Of course, this dream presupposes that someone in your organization can specify the optimal response for any scenario that your personnel
Here are the quick-hit ponderings that I posted on the IBM Netezza Facebook page this past week. Clearly, I was focused on the "big" side of big data, and on the "statistics" DNA of the analytics that power big data, and on the limits of what you can in fact "optimize" with big data and analytics
Game-changing analytics applications don't spring spontaneously from bare earth. You must plant the seeds through continuing investments in applied data science and, of course, in the big data analytics platforms and tools that bring it all to fruition.
If there’s more and more data arriving and time isn’t expandingi, then data must be arriving at greater and greater velocity.
In my last post I talked about Variety in the Volume, Variety, Velocity triumvirate. There’s more to be said about that, but first I’d like to take a run at Velocity. We’ve
The human condition is an unfathomable mystery, a complex stew of biological, genetic, behavioral, cultural, environmental, psychological, and spiritual factors.
But fathom it we must. When our personal condition stumbles from wellness to illness, we will use any resources at our disposal,
Multiple sclerosis (MS) is a chronic neurologic disorder that afflicts many in the primes of their lives. The biomedical research community has ramped up its use of big data analytics to illuminate the myriad factors that contribute to the onset and progression of MS.
On April 26, IBM announced
Further to news of SUNY’s exploration of big data to understand possible causes of multiple sclerosis, I spoke with David Smith, VP of Marketing at Revolution Analytics, for a briefing on some advantages of R for analysis of large data sets.