As we were wrapping up VMWorld Europe (or at least Mark Browne was) Gina Minks (@gminks) and Tony Foster (@wondernerd)discuss virtualising workloads for High Performance Computing and Big Data. Its an interesting proposal that could lead to more efficient and frankly less expensive Big Data projects, opening up the industry to innovation. If you have any further thoughts, please comment here or reach out to Gina and Tony.
All content for Tech sElect : The EMC Elect community podcast is the property of Dell EMC Techs Elect and is served directly from their servers
with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
As we were wrapping up VMWorld Europe (or at least Mark Browne was) Gina Minks (@gminks) and Tony Foster (@wondernerd)discuss virtualising workloads for High Performance Computing and Big Data. Its an interesting proposal that could lead to more efficient and frankly less expensive Big Data projects, opening up the industry to innovation. If you have any further thoughts, please comment here or reach out to Gina and Tony.
Dell EMC Tech sElect #50: With Elect member Sam Shouse at VMWorld
Tech sElect : The EMC Elect community podcast
15 minutes 29 seconds
8 years ago
Dell EMC Tech sElect #50: With Elect member Sam Shouse at VMWorld
In our 50th episode we talk with Dell EMC Elect member Sam Shouse (@kraytos). We discuss his very first VMWorld conference and what he makes it of it all from an IT field engineers perspective as well as the perspective of a Dell EMC Elect member. we get Sam's thoughts around the VMWorld announcements, virtualization, and the future of the Data Centre. To learn more about Sam check out his blog: https://samshouseblog.com/
Tech sElect : The EMC Elect community podcast
As we were wrapping up VMWorld Europe (or at least Mark Browne was) Gina Minks (@gminks) and Tony Foster (@wondernerd)discuss virtualising workloads for High Performance Computing and Big Data. Its an interesting proposal that could lead to more efficient and frankly less expensive Big Data projects, opening up the industry to innovation. If you have any further thoughts, please comment here or reach out to Gina and Tony.