Big data is not just about scaling your data analytics processing platforms to keep up with the onslaught of new information. Just as important, big data is about bringing together your best and brightest minds and giving them the tools they need to interactively and collaboratively explore rich
The planet is a huge place to optimize. Often, it's not clear, in a world divided among squabbling nations, where we should start.
People-centric lifestyles are paramount. You should begin by making your own corner of the planet more livable. As the world rapidly urbanizes, the demand for Smarter
Digital Media companies are more than just marketing leaders. They are marketing innovators!
In fact, when I think about the marketing service providers, content publishers and gaming firms we’ve talked to or worked with over the years, it’s easy to realize that they have been doing Big Data
My first encounter with in-memory database technology was back in 1998 when I was working at e-commerce pioneer Open Market. At the time, we had acquired an in-memory database solution that powered an online product catalog. Because everything was in-memory, the response time as different
It’s a question that came up in Ray Tacoma and Phil Francisco’s Q&A session at IOD and it’s a question I’ve answered at the IBM Netezza booth in the exhibition. Smart Consolidation demands an answer, just as every workload optimized platform in the Smart Consolidation portfolio needs to be
I’m pretty jazzed about what I do because analytics truly drives business – unlike most IT solutions, analytics helps increase the top line (revenue), not just reducing the bottom line (cost). But I was recently blown away as I read an article in the MIT Technology Review magazine entitled, The
CMOs today are inundated with massive quantities of data from external data providers and internal systems. Yet the still strive to find elusive answers to these questions:
What new product can we introduce that will address new highly profitable emerging markets we’d like to enter?
Statistical techniques such as predictive analytics help us make sense of ever-growing data. Analyzing signals – data streams created as events unfold –in-context of long historical records create insight to likely outcomes, and guide our decision-making. Let’s take a minute away from the hubbub
In a recent blog, Greg Rahn of Oracle responded to Phil’s “Oracle Exadata and Netezza TwinFin Compared” eBook; before commenting on an Oracle engineer’s views, I’ll restate the eBook’s larger themes.
Exadata connects Oracle’s RAC database, its architecture designed for online transaction processing
"I cannot imagine life without Netezza." – from a tweet by "noogle" (Twitter, 11 May 2010)
Late in May, members of my team and I were in Tokyo's ultra-bustling Shibuya district for a few days on our "worldwide whirlwind training tour" with the global field sales teams regarding the details of the
"Learning to learn is to know how to navigate in a forest of facts, ideas and theories, a proliferation of constantly changing items of knowledge. Learning to learn is to know what to ignore but at the same time not rejecting innovation and research." – Raymond Queneau (1903-1976), French poet,
“The best vision is insight.” -- Malcolm Forbes (1919-1990), publisher of Forbes magazine, New Jersey state senator and adventure hobbyist.
A couple of big announcements from our friends at SAS today. For the industry at large, SAS’ commitment to in-database analytic processing is a confirmation of