
John Furrier8



3 pieces of data platform: 1) infrastructure like hadoop (data OS) 2) bus intelligence in new way to access data & insight in real time not separate 3) combination of smart data domain knowledge & data science in platform

Jacques Nadeau
Of those three, where is the biggest gap? I'd argue #2 has yet to grow to the strength of either 1 or 3.

John Furrier the gap is #3 building a analytics app layer ontop of the data infra to build applications to the segment of 1 - data engines are need

Jeff Kelly
need to leverage #Hadoop as a storage and COMPUTATIONAL platform to get its full value #bigdatanyc

John Furrier advanced analytics apps is the most relevant right now from our research..

Jeff Kelly
agree - domain knowledge and the science very difficult combo to find

(((Ellen Friedman)))
I like the way NFS access to MapR platform makes #2 & #3 easier to do. Ex: Storm runs on MapR now w/o Kafka layer; Solr easy to use too #hw2013

John Furrier Solr is very important and enterprises need a cohesive platform with security..love how the platforms are getting mature..