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Interested in learning more about how Red Hat and our partners are approaching the emerging ARM technologies market? Join us this week at ARM TechCon 2015 in Santa Clara, California, to see our solutions in action!

Red Hat will be demoing the Red Hat Enterprise Linux Server for ARM Development Preview, both as a standalone solution and as a foundation for an ARM-based big data solution with Apache Spark. We'll also be showing both static and live demonstrations of our partners' hardware in booth (#839) at the Santa Clara Convention Center.

In addition, Red Hat's Chief ARM Architect, Jon Masters, will present

a deeper dive on ARM-powered big data analytics on Wednesday, Nov. 11, at 3:30 p.m. (PST).

Finally, on Thursday, Nov. 12, at 10:30 a.m. (PST), Red Hat and AMD will co-host a two hour deep dive Developer workshop session highlighting Red Hat Enterprise Linux Server for ARM Development Preview and AMD's Opteron™ A-Series processor, with its System on a Chip (SoC) architecture. Engineers from Red Hat, AMD, and Linaro will all be present to help answer questions from developers on ARMv8 and attendees will have hands-on access to associated tools and technologies with expert advice and guidance.

If you're attending ARM TechCon 2015 and are interested in seeing the latest and greatest open innovations within the ARM ecosystem, be sure to stop by booth #839, attend Red Hat's presentation, and check out the Developer workshop. We hope to see you there!

About the author

Yan Fisher is a Global evangelist at Red Hat where he extends his expertise in enterprise computing to emerging areas that Red Hat is exploring. 

Fisher has a deep background in systems design and architecture. He has spent the past 20 years of his career working in the computer and telecommunication industries where he tackled as diverse areas as sales and operations to systems performance and benchmarking. 

Having an eye for innovative approaches, Fisher is closely tracking partners' emerging technology strategies as well as customer perspectives on several nascent topics such as performance-sensitive workloads and accelerators, hardware innovation and alternative architectures, and, exascale and edge computing.  

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