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Cleversafe and Hadoop - Analytics for Big Data
Traditional storage systems have not been designed for large-scale distributed computation and data analysis. The transferring of data from storage area networks (SANs) or network attached storage (NASs) across the network to perform the computations used to gather insight quickly becomes the bottleneck, making multi-site computation over the WAN particularly challenging.
Organizations need to implement a storage system designed to deliver cohesiveness across the network to alleviate disrupting bottlenecks.
In this webcast, Rob McCammon, Director of Product Management, explains how Cleversafe combines the power of Hadoop MapReduce with a highly scalable object-based dispersed storage system to decrease infrastructure costs for separate servers dedicated to analytical processes, reducing required storage capacity, and simultaneously improving data integrity.