The era of “big data” represents new challenges to businesses. Incoming data volumes are exploding in complexity, variety, speed and volume, while legacy tools have not kept pace. In recent years, a new tool – Apache Hadoop – has appeared on the scene. With the rise of big data has come the rise of
Big data is an industry ecosystem in which the open-source approaches have great momentum. Open-source platforms—including Hadoop, NoSQL and R—are expanding their footprint in advanced analytics. As the enterprise Hadoop market continues to mature and many companies deploy their clusters for the
What is an enterprise data warehouse (EDW)? You’d think the industry would have achieved some consensus on this topic by now, but you’d be mistaken.
The EDW holy wars continue even as big data pushes EDWs, however defined, to a more narrowly circumscribed niche. Some have argued that an EDW
Like most tournaments of quality and depth, it’s not always easy to separate the contenders from the pretenders. New comers with flash and style seek to replace the tried and true. In a tournament of this caliber, substance and fundamentals win out. The competition is too fierce for those without
Predict Customer Behavior won a surprise victory over the top-seeded Improve Campaign Effectiveness in the Marketing region. ICE’s maturity in this case worked against it with the handsome newcomers of PCB. It seems like a trend today, that more low-level technical chops are getting the attention
The stage has been set for the Final Four of the IBM Smart Sixteen Big Data Challenge. Starting with a field of 16 business uses of big data, the cream of the crop continues to rise. Last week, Natasha Gabriel listed the elite eight who made it past the first stage. Here is how the bracket is
While basketball fans are deep into their Sweet 16/March Madness brackets at the moment, I was asked last week to provide my picks/brackets for IBM Big Data’s Smart Sixteen Big Data Challenge. I’m not a basketball fan and have never paid much attention to March Madness, but this intrigued me.
It was a wild weekend of mammoth matchups between formidable technology titans in the Smart Sixteen Big Data Challenge! With the field narrowed to the Elite 8, questions still abounded.
Would Predicting Customer Behavior be able to break the cool-under-pressure Improve Campaign Effectiveness to
Here are the quick-hit ponderings that I posted on various LinkedIn big data discussion groups this past week. I opened up three new themes–enterprise content warehouse, business process optimization, and big BI–and further developed the established themes of big data's optimal deployment model and
If you're not careful, your Big Data investment can degenerate from a strategic asset into an unmanageable burden.
I'm not speaking about the potential complexity and cost of the underlying Big Data platform, though those are important concerns. What I'm referring to is the unfortunate tendency
It may have been the result of a misunderstanding or a comment heard out of context. But whatever the background for the commentary, let me simply state that Netezza is completely committed to the success of the Netezza Migrator and all the other Netezza products and functionality launched at Enzee