Is your big data solution a big drag? Boost performance with Red Hat JBoss Data Grid and Intel

While there are a number of platforms to address big data, they are often constrained by the I/O performance of the host file system. This can be a show-stopper for applications that require extreme performance and real-time access to data.


Join this webinar to hear experts from Red Hat and Intel explain how integrating a data grid with your big data platform can give you a flexible, cost effective way to address big data platforms that have performance limitations.

In this webinar, our experts will answer questions such as:

  • What is big data and why does it matter to your business?
  • Why does big data pose a challenge for your datacenter?
  • Why are traditional data storage models difficult to scale?
  • How do big data platforms scale?
  • What are the limitations of big data platforms?
  • How does Red Hat® JBoss® Data Grid improve big data solutions?
  • How do Intel technologies provide optimal performance for data grids?

Date: March 6, 2013

  • 19:00 UTC | 2:00 pm (New York) / 8:00 pm (Paris) / 12:30 am Thursday (Mumbai)
Length: 01:00
Language: English
Audience: Business


Tony Hamilton Enterprise Marketing Manager for Big Data and Analytics, Intel
Shane Johnson Technical marketing, JBoss Data Grid, Red Hat

About Tony Hamilton: Tony Hamilton is part of Intel’s Data Center and Connected Systems Group – DCSG. His background is in server-system design and software architecture and his current role is enterprise marketing manager for Big Data and Analytics. At the industry level, he supports open-knowledge strategies and planning for real-time information processes and is currently on the board of advisers for the International Institute of Analytics.
About Shane Johnson: Shane Johnson is responsible for technical marketing strategy and content delivery for Red Hat JBoss Enterprise Application Platform and Red Hat JBoss Data Grid. Previously, he served as a Java EE™ architect and subject matter expert for Red Hat JBoss Data Grid while working with enterprise customers in the financial and telecommunications industries to integrate data grids into their solutions. His interest in NoSQL, beginning in 2009, has progressed to an interest in big data today.

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