How to make big data work in the cloud

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Moving to Infrastructure as a Service (IaaS) should be a step up and not a step down, particularly for big data workloads. Achieving your goals means paying attention to some important criteria. First, there’s the real elasticity of the IaaS solution. Then you need to consider perfect provisioning for the exact resource amounts, that is, the unbundled RAM, CPU and storage needed for a specific workload. How do you store that data securely? And then you must consider data centers and data-protection jurisdictions.

In this analyst roundtable webinar, here are some key points we’ll be discussing:

  • Key criteria when choosing an IaaS provider
  • Service versus architecture
  • Data versus big data
  • How much customer control equals “full control”
  • Trends: control, experience and understanding

Our panel of experts includes:

For a detailed discussion that answers these questions, join GigaOM Research and our sponsor CloudSigma for “How to make big data work in the cloud — and protect it without going broke,” a free analyst roundtable webinar on Wednesday, Jan. 30, 2013, at 8 a.m. PT.

Register here.

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