A blueprint for data in a multicloud world

A well-planned data strategy that applies three basic principles will control cost and maximizes insight in a multicloud environment.

As companies move beyond initial forays into the cloud, many are experiencing the advantages--and the challenges--of a multicloud environment. In fact, according to a recent Institute for Business Value (IBV) study, 85 percent of companies globally are already operating in a multicloud environment. By 2021, 96 percent plan to be using multiple clouds.

But the migration is unlikely to be as simple as merely shifting a current architecture to a new location in the cloud. Each cloud vendor has its own architectural methods and ways of organizing data that are often incompatible with other clouds. If not accounted for in a well-designed strategy, a company may experience poor performance and higher-than-expected cost.

At the root of the challenge is the nature of data and its rapid growth. When companies expand the number of services and applications they use, their data grows exponentially. But it isn’t the amount of data that is the real issue, but where it resides. And where it resides is often based on where it is collected and created.

Since almost all companies will soon be functioning in the multicloud reality, negative effects of siloed data within a company will only be heightened as companies spread processes, applications, and pockets of data across multiple clouds.

These new circumstances lead to an important question. How can companies successfully navigate the complexity, cost and latency issues it generates?

The answer? By properly defining a data fabric or blueprint for data in a multicloud world.

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