Data storage is the foundation of all modern data processing systems. Big data architectures in particular have been founded on scalable, durable, storage infrastructure, because this enables the unique advantages that come with scale. While Hadoop has traditionally been associated with HDFS, its clear interfaces have enabled alternative implementations to emerge with different capabilities, scale, performance, and distribution characteristics.
Every organization is considering its storage options, with an eye toward the cloud. Paul Scott-Murphy explores what makes different large-scale storage systems and services unique, their clear (and unexpected) differences, the options you have to use them, and the surprises you can expect along the way.
This session is sponsored by WanDisco.
Paul Scott-Murphy is vice president of product management at WANdisco, where he has overall responsibility for the definition and management of WANdisco’s product strategy, the delivery of product to market, and its success. This includes the direction of the product management team, product strategy, requirements definitions, feature management and prioritization, road maps, coordination of product releases with customer and partner requirements, user testing, and feedback. Paul has built his career on technical leadership, strategy, and consulting roles for major organizations. Previously, he was the regional CTO for TIBCO Software in Asia-Pacific and Japan.
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