How to get your multi-cloud data architecture strategy on track for long-term success  

21 April 2021:

Digital transformation continues to accelerate at pace as does the modernisation of data infrastructure. Almost without exception every digital process is improved by the speed and scale at which it can use large volumes of data, in order to make critical decisions.

Gartner tells us that by 2022 “75 percent of all databases will be deployed or migrated to a cloud platform, with only 5 percent ever considered for repatriation to on-premise.” Unsurprisingly the migration of data to the cloud is one of the most talked about aspects of data infrastructure modernisation. Clouds are the new data centers, the internet is the new network, and SaaS is the new application stack.

The cloud presents a huge opportunity to businesses and it’s unlikely that any modern application won’t leverage cloud infrastructure in some way. Yet to take advantage of its full benefits you need to give careful thought to your strategy. Don’t default to basic tools and strategies – think longer term. You don’t want to find your mission-critical application wedded to one vendor amidst mounting cloud costs and your application stack stuck because it can’t scale.

Here are five critical strategies to get your multi-cloud data architecture strategy stable, secure, and on the right track for long-term success.

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Source: Data Center Dynamics

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