A Fundamentally Different Approach to Hadoop Based Enterprise Analytics Architecture

Enterprise IT Great America Ballroom J

In this Enterprise IT session, we will talk about big data’s practical application in business and how certain architectures facilitate faster insights and lower TCO. We will briefly discuss the impetus for today’s hadoop design built on commodity compute with Direct Attached Storage. We will then review a fundamentally different approach to enterprise analytics architectures and how it attempts to eliminate the limitations that plague today’s purely commodity approaches. We will discuss the above from the viewpoint of a Systems Integrator that is involved in building a centralized analytics infrastructure to solve big data challenges for large enterprises.

Photo of Jeff  Denworth

Jeff Denworth


Jeff Denworth has over a decade of experience with advanced computation and massively scalable big data storage technologies. Before joining DDN in 2006, Mr. Denworth ran worldwide sales and marketing at Cluster File Systems, Inc. – where he managed all aspects of sales & business development associated with the Lustre® file system. Prior to Cluster File Systems, Jeff managed the HPC and enterprise server memory business development at Dataram Corporation.


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