I had a chance to hear David Murray, Chief Business Development Office, discuss how our customers are instrumenting their high performance trading transactions for greater transparency at the 13th Annual HPC for Wall Street - Cloud and Data Centers Conference.
I attended some sessions at the HPC for Wall Street - Cloud & Data Centers last week, and I found it interesting that most of the a discussion was about determining how to build or rent the best grid to match a specific business goal. It seems that most of the goals are around squeezing the most value out of your data. To paraphrase another panelist, a Global Business Director with Thomson Reuters, moving legacy applications to either public or private clouds is not as interesting as leveraging cloud technology to find new ways to use data you have, new use cases, or new financial products.
It was surprising to hear another attendee comment that if someone wants to build grids for the sake of building grids they should work for a cloud service provider. When I asked folks how a network specialist or infrastructure specialist can participate in this data-centric world, most of the participants’ answers centered around developing an understanding of how to produce, deliver and manage different types of massive datasets. It seems this is a reflection of the shifts in the ideal high performance-computing skillset, which is now trending towards being data savvy.
After David Murray's luncheon discussion of how trading transactions are like snowflakes—each different and possibly important in its own way—that you need to examine in detail while standing in the middle of a raging blizzard. Needless to say that analogy inspired several interesting discussions at our booth about:
So the question is: how many snowflakes are you able to see in your blizzard? View our Corvil demo here.