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Hardening Hadoop for the Enterprise: Managing Diverse Workloads, Securing and Governing your Big Data Platform

Paul Kent (SAS)
Sponsored Nassau Suite
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Slides:   1-PPTX 

How does IT balance the tension between “one glorious cluster that serves them all” and “one cluster, one purpose – dedicated for the particular task and not to be interfered with by anything”. If they are to contain cluster sprawl, folks need help allocating a mixed workload across a shared cluster (beyond the job tracker assigning map and reduce slots), and they want to be sure the cluster is as secure as can be. Kerberos, C-groups and YARN to the rescue! This talk describes the current practices and speculates how things get better under YARN.

This session is sponsored by SAS

Photo of Paul Kent

Paul Kent

SAS

Paul Kent is Vice President of Big Data initiatives at SAS. He spends his time between Customers, Partners and the Research & Development teams discussing, evangelizing and developing software at the confluence of big data and high performance computing. A datacenter rack full of current-generation 64bit x86 processors represents a very large aggregate memory space, thousands of threads and plentiful IO that can be harnessed to solve problems at a much larger scale than we have traditionally been accustomed to.

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