Date: Wednesday, February 13, 2013 

8:30 AM PDT / 11:30 AM EDT / 5:30 PM GMT

Speakers: Scott Fadden, Technical Marketing Manager

IBM Corporation

Scott Fadden is a performance engineer on the General Parallel File System (GPFS) development team at IBM. He has more than 10 years experience designing and implementing solutions for enterprise analytics, ETL and Business intelligence from large data warehouses to grid computing. As a GPFS performance engineer he specializes in complex solution design and performance tuning.

Learn How Clustered File Systems Can Tame Big Data

Using a clustered file system can help simplify big data management. These systems safely support large quantities of file data and offer consistent, high performance access to a common set of data from a server cluster. A single, clustered file system can span multiple commodity servers and storage controllers to avoid the bottlenecks and data hotspots typically associated with many file serving solutions.

Attend this 45 minute webinar and learn the benefits of a clustered file system for your environment:

For CIOs:
•   Lower cost of storage
•   Accelerated work flow
•   Asset optimization
•   Data protection

For IT Managers:
•   Simplified storage management
•   Less downtime
•   Maintenance performed during normal working hours

We’ll introduce you to the IBM® General Parallel File System (IBM GPFS™), which provides online storage management, scalable access and integrated lifecycle management tools that are capable of managing petabytes of data and billions of files.  At the same time, you’ll see that GPFS has superior stability, lower TCO, superior features, better scalability, and first class support compared to other offerings. 

IBM GPFS lets you expand and optimize your data use across departments, sites, and continents with a global domain space to make it easy to implement.   Further, GPFS is platform-independent so it can run on a wide variety of x86 and Power processor-based systems, storage from multiple vendors, and a variety of operating systems including Red Hat, SUSE® Linux Enterprise Server, Debian, IBM AIX® and Windows® 2008 Server.