On June 20th, Cisco and MapR will join with Forrester Research Big Data analyst Mike Gualtieri to discuss “productionizing” Hadoop. But what does it mean?
Mike has developed a list of 7 architectural best practices that will help your enterprise quickly, and easily develop or move your Hadoop environment into standard data center processes. Following his guidelines, your can get your Hadoop environment up and running in no time, saving time by being proactive on the headaches and pitfalls that are unique to Big Data environments.
Joining Mike will be MapR CMO, Jack Norris discussing their best practices and how they line up with the Big 7 from Forrester.
Finally, Cisco IT will showcase a MapR production environment and how they have streamlined the complex Big Data workloads, automatically moving data into and running analytics out of their Hadoop environment.
Keeping the Hadoop production environment up and running smoothly is the name of the game here and in the face of resource constraints, Cisco IT has standardized on Cisco Tidal Enterprise Scheduler—with its seamless integrations into MapR, Hive, and Sqoop—giving your enterprise the ability to “productionize” complex workloads from any data source.
Join us as we walk you through the 7 architectural best practices for Big Data, MapR and Cisco Tidal Enterprise Scheduler.
And if you aren’t able to join the webinar, read our joint Solutions Brief on Cisco UCS with MapR: Delivering Advanced Performance for Hadoop Workloads
MapR will have a booth at Cisco Live, Orlando June 23-27, 2013. We look forward to seeing you there!
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