There’s little doubt that Hadoop will soon be a vital tool in the IT toolbox. But as Big Data frameworks take hold in the enterprise, what do data center operators need to know? Multi-tenancy, network topology, workload types, and myriad other factors affect the way data centers handle large processing tasks. Processors, frameworks, and the underlying network all need to work hand-in-hand to achieve the promises Big Data Makes.
In this joint session, experts from Cisco and Cloudera reveal the fundamental design considerations of Hadoop in the Enterprise Data Center. Drawing from lessons learned in the real world, they’ll share best practices from deployments of Cloudera’s Hadoop distribution alongside Cisco’s networking components. Attendees will learn how Cisco Systems eases Hadoop deployment, giving IT professionals efficient, scalable topologies that let information flow seamlessly between enterprise data repositories.
This session is sponsored by Cisco
Eric Sammer is the CTO and co-founder of ScalingData. Prior to ScalingData, he was an engineering manager at Cloudera. His background is in the development and operations of distributed, highly concurrent, data ingest and processing systems. He’s been involved in the open source community and has contributed to a large number of projects over the last decade. Eric is the author of Hadoop Operations (O’Reilly).
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