Cloud Mobility and Data Movement

Eric Lakin, University of Michigan; Michelle Tidwell, IBM; Alex McDonald, NetApp

We’re increasingly in a multi-cloud environment, with potentially multiple private, public and hybrid cloud implementations in support of a single enterprise. Over time, some applications and data might need to be moved back on premises, or moved partially or entirely from one cloud to another. That means data movement and data liberation – the seamless transfer of data from one cloud to another – has become a major requirement. In this webcast, we’re going to explore some of these data movement and mobility issues with real-world examples from the University of Michigan. Register now for discussions on:

• How do we secure data both at-rest and in-transit?
• Why is data so hard to move? What cloud processes and interfaces should we use to make data movement easier?
• How should we organize our data to simplify its mobility? Should we use block, file or object technologies?
• Should the application of the data influence how (and even if) we move the data?
• How can data in the cloud be leveraged for multiple use cases?

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