Have you heard of products like IBM’s InfoSphere Streams, Tibco’s Event Processing product, or Oracle’s
Category: Data & Analytics
Data becomes so complex that it is nearly impossible to work with existing data infrastructure and analysis techniques. My suite of data technology includes: 1) Real-Time Stream Processing (providing in-memory analytics, ETL, and CEP); 2) Ad-Hoc NoSQL Query (providing interactive fine-grained analytics); and 3) Batch Processing (providing off-line analytics over large volumes). Talk to me about he world of SQL vs. NoSQL, proprietary vs. open source.
My experience in analytics started when I spearheaded a data mining workbench at Teradata in 1996 that included machine learning algorithms including rule induction, decision tree, kohonen clustering, deep learning neural networks, and a host of others. I’ve been a student of ML and AI since 1988, and using it across large datasets over two decades before it became a huge focus of innovation.
Do you think that you’re working with “Big Data”? or is it “Small Data”? If you’re
How do you know whether you are dealing with Big Data or Small Data? I’m
As organizations continue to grapple with big data demands, they may find that business managers
An Enterprise PaaS must truly be agnostic to the underlying elastic infrastructure, and fully support
Fraud is definitely top of mind for all banks. Steve Rosenbush at the Wall Street Journal
The Ideal Big Data Application Development Environment Lets assume that your entire organization had
Back in September, I briefly mentioned a new generation of data-driven applications, which I also
Data-Driven Applications – the Big Data theme for 2013 My prediction for 2013 is that
So what’s the fuss with “analytic applications”? Why will analytics transform how applications are developed?