James Kobielus recaps the quick-hit ponderings from the IBM Netezza Facebook page. He went deeper on the themes of sexy statistics, Hadoop uber-alles, smartphones as big data analytics platforms, and big data's optimal deployment model. And he opened up a fresh topic: frictionless sandboxes.
What exactly is 'semi-structured' data? How is it different from relational data? And what about 'structured, but not relational' data? Dai Clegg explains the intricacies of semi-structured data and how it fits into relaitonal or Hadoop platforms. Using an example of a telco seeking affinity
Here are the quick-hit ponderings that I posted on the IBM Netezza Facebook page this past week. I went deeper on the themes of experience optimization, Hadoop, big data crowdsourcing, and DW appliance proofs of concept. And I opened up a fresh topic: big data's optimal deployment role. I also
Smarter business is a game of incremental improvements. It depends on your ability to produce a steady stream of innovations in your operational processes.
Incremental tweaking is not usually a glamorous activity. Minute process adjustments don't usually call attention to themselves. And that's a
Here are the quick-hit ponderings that I posted on the IBM Netezza Facebook page this past week. I went deeper on the themes of information glut, DW appliance POCs, handheld petabytes, and online recommendation engines. I started up a new thread on crowdsourcing in big data modeling, development,
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.
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'
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
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
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