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Predictable Performance at Scale is the Key to Shorter Time to Results

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Proof of big data benefits are all around us, from consumer services, to marketing, to fraud detection. But the bigger the data gets, the more data access from traditional storage systems becomes a serious bottleneck.

Organizations have begun to deploy massively parallel I/O storage infrastructure to eliminate such bottlenecks and make applications such as for credit card transactions, high frequency trading and risk management, closer to real time.

In this talk, we’ll discuss how organizations are leveraging developments in storage infrastructure to extract the greatest possible value from their data. We’ll offer specific metrics and hard numbers on how storage systems impact critical performance metrics such as data ingest speed, query latency, flexibility and overall scalability.

This session is sponsored by DDN

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 LustreĀ® file system. Prior to Cluster File Systems, Jeff managed the HPC and enterprise server memory business development at Dataram Corporation.


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