Organizations are increasingly experimenting with Hadoop, but spending too much time in configuration and maintenance. The difference in total cost between a custom-built Hadoop cluster and a production-ready, enterprise appliance are substantial.
Using Oracle Big Data Appliance as a model, this session will consider the challenges of designing a Hadoop appliance; the benefits of the appliance model; and the future functionality of pre-integrated Hadoop clusters.
Join Oracle’s Dan McClary and learn about the requirements for an enterprise Hadoop cluster, from networking and service layout to the automation of upgrades, installations, and security integration; and find out how a pre-integrated appliance can most efficiently deliver enterprise Hadoop needs.
This session is sponsored by Oracle
Dr. Dan McClary serves as Principal Product Manager for Big Data and Hadoop at Oracle. Prior to joining Oracle he served as Director of Business Intelligence at Red Robot Labs in Palo Alto, CA. He previously was as a Visiting Scholar at Northwestern University where his research focused on applying Hadoop to large scale graph problems. Dr. McClary holds a PhD in Computer Science from Arizona State University, where his work centered on adaptive optimization of mobile and ad hoc networks. He holds an M.S. in Computer Science from Arizona State focused on real-time scheduling in distributed systems.
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