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Avoid Incomplete Data With a Smart Enterprise Strategy
August 17, 2017
Embracing the Pace of Change With Cloud Data
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Flexible Support Services Are the Way of the Future

Urgent. Peak. Off-peak.

On premises. Cloud. Hybrid.

Dev. Test. Production.

No, this isn’t a haiku written by an overworked IT team. These words encapsulate the changing, flexible, and often competing nature of IT needs within an enterprise. This changeability has prompted the rise of flexible support services, an option that recognizes the reality of managing cloud and big data transitions.

Every day, enterprises are transitioning projects to the cloud. These moves are motivated by the need to realize big data success quickly and economically. As businesses continue to explore all that big data can offer, they need flexible support that can shift and change with their needs. Businesses are asking for tools that can be used to match their fluctuating usage patterns. Enterprises are waiting for support providers to recognize that a transition to the cloud is often a gradual and staged process, one that spans on-premises, cloud, and hybrid deployments.

Is It Time for a Portable, Usage-Based Support Model?

The move to the cloud and exploration of big data capabilities often represent times of transition for businesses. These projects often move in fits and starts, starting on premises with a goal of moving to a cloud platform or ultimately evolving into a hybrid approach.

No matter how or where you run your big data workloads, a portable support subscription that adapts to your needs really is your best bet. As Andrew Brust, the senior director of technical product marketing and evangelism at Datameer, writes, “[I]t’s 2017, and having separate subscriptions for on-premises and cloud customers is starting to make about as much sense as having distinct contracts for customers who use one hardware vendor over another.”

As your workloads fluctuate or you move to different infrastructures, a flexible support services subscription would move with you, providing the right level of support where and when you need it most. The fluidity of cloud services and speed of big data accumulation are forcing businesses to operate in new ways. These changes are also demanding a new vision of what support services should look like.

Who Needs Flexible Support?

So, who can benefit from flexible support? The short answer is anyone contemplating a move to the cloud to support big data initiatives, which a Forrester survey found is the number one priority for global data and analytics technology decision makers.

Traditional support is based on a fixed number of nodes that an enterprise knows it will deploy. However, as customers have moved to the cloud, they experience fluctuations. One day they may need 10 nodes, the next day 40, and then 20 the day after that. It’s this fluctuation that flexible support services address. This new type of flexible support sits at that transition point where an enterprise has enough workload in the cloud that it can no longer run unsupported.

Businesses embrace the simplicity of spinning cloud services up and down at will. They know that malleability unleashes the potential of big data, and flexible support services recognize the need for support to be equally adaptable.

Want to learn about the Flex Support service offered by Hortonworks? Register today for our August 9, 2017, webinar: Built-in Cloud Security for Big Data Workloads – Live Demo & Flex-Support Options.

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