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Scaling Enterprise Data in the Cloud (E07)

Topic: 2010 NA

Subtopic: DB2 for LUW



DATE: 2010-5-12 (11:00 AM - 12:00 PM)
SPEAKERS: Samir Kapoor (IBM)

Enterprises are turning to Cloud Computing to gain the benefits of elasticity " the ability to have capacity on demand while paying only for what they use. Every day, new solutions and use cases emerge for how enterprise systems can be hosted in the Cloud. Current solutions impose limitations. Cloud-provided database systems lack the functional richness and hierarchical structure of modern relational databases, while compute cloud servers are typically bound by fixed restrictions (e.g, 8 compute units and 16GB memory for Amazon EC2). Typical HA solutions cannot be adapted to the cloud, and shared storage oriented database scale-out solutions such as Oracle RAC don't work in the cloud. This presentation focuses on how enterprises can host applications on relational databases provisioned horizontally across Cloud-based servers, and how they can use the cloud to scale-out relational data based on business demand, eliminate database downtime, and provide for disaster recovery solutions.

EXP. LEVEL: Intermediate

OBJECTIVES:

Enterprise data can now safely and effectively be scaled out in the cloud.

The cloud can deliver a cost-effective disaster recovery solution for enterprises.

The cloud can be employed to eliminate downtime for databases and critical business applications.

Relational databases can now be scaled out using the cloud based on business demand.

There are solutions to the current compute cloud infrastructure limitations on how critical data-drive applications operate in the cloud



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