Access disparate data with an extended enterprise multi-cloud

Part of the On Cloud Podcast series

Analyzing data spread across geographies can be difficult due to regulatory and architectural constraints. Extending your enterprise multi-cloud with vertical, AI, or data clouds can help you view and analyze your data no matter its location.

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Going global: Building an extended enterprise multi-cloud

For companies that operate across geographies, IT architectures and regulatory requirements can make it difficult to access widely distributed data for analysis. Extended enterprise clouds (EEC) can help provide access to disparate data via augmenting the enterprise multi-cloud with third-party services such as vertical clouds, AI clouds, or data clouds—all with a common control plane. Building an EEC takes planning and a cultural change around data ownership, but it’s well worth the effort.


If you have data from all these different parts of your business, you can kind of put them together and get a better sense of what's going on.

David Bernstein is the Chief Global Cloud Architect at Roche. He is an engineering architecture executive in cloud computing, SaaS and enterprise applications, and networking. David also has skills in cloud native, security, compliance, cost, and scale engineering.




Want more multi-cloud success? Here are some key strategies

Despite being the norm, multicloud environments are still complex and difficult to manage. Here are tips to help you untangle multicloud complexity and up your chances of long-term success.

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Key strategies to solve the puzzle that is multicloud

In a multi-cloud environment, it's critical to have a sound management strategy to realize your goals while controlling costs and achieving speed to market.

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