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Blog2019-11-14T11:46:05-08:00

Designing Shared Storage for Hadoop, Elastic, Kafka, TensorFlow

Designing Shared Storage for Hadoop, Elastic, Kafka, TensorFlow. As analytics environments like Hadoop, Elastic, Kafka and TensorFlow continue to scale, organizations need to find a way to create a shared infrastructure that can deliver the bandwidth, flexibility, and efficiency that these environments need. In a recent Storage Intensity podcast, Tom Lyon, founder and chief scientist of DriveScale and George Crump, Lead Analyst of Storage Switzerland, sat down to discuss a wide range of subjects including Non-Volatile Memory express, (NVMe), Non-Volatile Memory express over Fabric (NVMe-oF), and Composable Infrastructures.

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