How to Build a Shared-Services Infrastructure in the Age of Big Data
Formerly Director of Technology at Sun Microsystems in Canada, and founder of NeatWorx Web Solutions Inc. Gord has held several senior roles in services and technology consulting throughout his career.
Gord is a graduate of Carleton University in Ottawa, Ontario with a degree in Systems and Computer Engineering.
Addison was previously an HPC industry analyst for IDC, where he was well-known among industry stakeholders. Prior to IDC, he gained recognition as a marketing leader and spokesperson for SGI's supercomputing products and strategy. Addison holds a master's degree from the Kellogg School of Management at Northwestern University and a bachelor's degree from the University of Pennsylvania.
As organizations deploy new scaled-out frameworks like Hadoop for analytic applications, “cluster-sprawl” often emerges as the elephant in the room, with multiple application specific clusters that are costly to maintain and difficult to consolidate. While capabilities emerging in open-source including Hadoop YARN can help, clients need a strategy and architecture to get to a shared-services approach, ensure service levels and keep costs under control.
Attend this webinar to learn how to:
- Improve application performance and agility without incremental investments in hardware
- Reduce costs and simplify management by consolidating multiple Hadoop and non-Hadoop workloads
- Guarantee application service levels and ensure data privacy between tenants
- Deploy a shared infrastructure supporting multiple lines of business while simultaneously boosting performance and reducing cost.
Register for this webinar to learn how by deploying Hadoop along with other workloads on a shared infrastructure, you can boost efficiency, simplify life-cycle management, and react more quickly to changing business requirements without the need to re-tool your infrastructure.