Boost performance with Red Hat JBoss Data Grid and Intel

March 5, 2013

Big Data, Data Grid

This afternoon Tony Hamilton, Enterprise Marketing Manager for Big Data & Analytics, and I will be giving a webinar on Big Data and data grids.

Please join us as we cover everything from recent Red Hat / Intel announcements to the components of Big Data solutions to hybrid Big Data / data grid architectures.

Abstract

To handle the explosion of big data, you will need an innovative platform as the basis for your big data solution. While there are a number of platforms that address big data, they are often constrained by the I/O performance of the local file system. This can be a show-stopper for applications that require extreme performance and real-time access to data.

Join our webinar to hear experts from both Red Hat and Intel explain how integrating a data grid with your big data platform can give you a flexible, cost effective approach to addressing big data platforms with performance limitations.

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

  • What is big data and why does it matters to your business?
  • Why does big data pose a challenge for your data center?
  • 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?

Join the live event:

Wednesday, March 6, 2013
19:00 UTC / 2 p.m. (New York) / 9 p.m. (Paris) / 12:30 a.m. Thursday (Mumbai)

Register Now

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About Shane K Johnson

Technical Marketing Manager, Red Hat Inc.

View all posts by Shane K Johnson

Trackbacks/Pingbacks

  1. Boost performance with Red Hat JBoss Data Grid and Intel | I can explain it to you, but I can't understand it for you. | Scoop.it - March 7, 2013

    [...] This afternoon Tony Hamilton, Enterprise Marketing Manager for Big Data & Analytics, and I will be giving a webinar on Big Data and data grids.  [...]

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