Join us for this 45 minute webinar to learn:

• What is a shared-services model and why does it matter to your Big Data environment?
• How Platform Symphony MapReduce deliver shared services for managing mixed workloads, such as compute and data intensive applications?
• Examples of shared services deployment models
• Demonstration of shared services deployed through Platform Symphony MapReduce

MapReduce is one of the most promising techniques for processing and analyzing Big Data today.  As more organizations are preparing to move their Big Data applications into production, they are also looking for a sophisticated runtime engine that can support both existing and emerging applications developed through new programming techniques such as MapReduce.  A shared services model becomes extremely desirable to help IT organizations achieve high resource utilization and maximize return on investment.

In this Platform Computing webinar, we will introduce an enterprise-class shared services platform -- Platform Symphony MapReduce, its implementation, delivery models and the key benefits for enterprise IT organizations to effectively manage compute and data intensive applications.

Who should attend:
Data scientists
IT managers
CIO & CTOs
Datacenter managers
Data center administrators
IT Director/VPs

PRESENTERS

Scott Campbell
Director, Product Management
Enterprise Analytics
Platform Computing,
an IBM Company

WHEN

Available on demand

REGISTRATION

Please complete the form below and submit. You will receive a confirmation email containing details on how to connect to the archived webinar.

Webinar on Demand: Delivering Shared Services with Platform Symphony MapReduce