"After having implemented several data lakes with Hadoop and HBase, I have completely soured on Hadoop. What appears to be a lovely abstraction to address a growing set of unstructured information, the batch attributes of the approach make it…"
"If you include simulation models in the predictive camp, then extrapolation and predictive modeling are very different. With simulation modeling, you create predictions from first principles. Most of the supercomputing cycles in the world are…"
"Web pages aren't static anymore, so a tag does very little to identify information.
Secondly, statistical data is so very experiment-specific that there really needs to be a rich meta-data layer to capture what the data is and what it is…"
"What would be a methodology that could organize these sites into purpose, influence, and impact in progressing data science?
I can postulate a hundred hypothesis of what would go into purpose, influence, and impact, but in pure data science fashion,…"
"In the supercomputing world, computational science has become a 'third' component in the scientific method along side and on equal footing as theory and experimentation. The ability to computational characterize, resolve, or predict using…"
"I feel that we are just in the first phase on how to build distributed, scalable, big data architecture. Many of the core algorithms that create knowledge from raw data are based on constraint solvers, and the best known methods for these algorithms…"
"Some 20 years ago, when I was chartered to design memory and cache controllers for the Intel Pentium, we had the ability to run hundreds of thousands of simulations that would produce a couple hundred statistics each. My total disdain for Excel grew…"