Enterprise data operating systems in the Cloud – TechRadar


The Cloud used to mean “renting someone else’s server” – but increasingly it is coming to represent a set of architecture and design patterns that define how we design and deliver 21st century Enterprise computing solutions. For data and analytic platform solutions, that means re-thinking solutions in terms of Services, APIs and Data Products.

About the author

Martin Willcox, Vice President of technology EMEA, Teradata.

What changes in the Cloud? Everything! Compute, cloud storage and network services are configured as code and available on-demand. Services can be started, stopped and scaled-up-and-out as required. Operations are automated by default. PAYG pricing models limit risk and enable rapid experimentation, lowering barriers to entry and improving time-to-value. Perhaps most importantly, a rich ecosystem of composable services with well-defined interfaces (“APIs”) enable “snap together” system development, by enabling Services to be called and connected to create re-useable processes that encapsulate important business processes. At a time of huge economic uncertainty, increasingly what matter are time-to-value and agility; Cloud architectures combined with “DataOps” methods enable agile, incremental development of the data and analytic products without which any digital transformation project is doomed to irrelevance at best, outright failure at worst.

What matters is what works



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