Separating Compute and Storage for Data Science and AI (details coming!)

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The rise of compute intensive workloads and the adoption of the cloud has driven organizations to adopt a decoupled architecture for modern workloads - one in which compute scales independently from storage. While this enables scaling elasticity, it introduces new problems - how do you co-locate data with compute, how do you unify data across multiple remote clouds, how do you keep storage and I/O service costs down and many more.

In this online meetup, you will learn about:
-the benefits of separating compute and storage
-how to co-locate data with compute for higher performance
-how to leverage compute frameworks such as Spark with Alluxio for fast analytics on any storage

Register for the online event to join: