3 years ago

Category: Software, Security, Data, Kubernetes, Infrastructure, github, automation, artificial-intelligence

This month, The New Stack examines the management of data in cloud native systems, with a series of news posts, contributed essays and podcasts. Check back often on the site for new content). data — the evolution of cloud services and new infrastructure like Kubernetes has changed the central question around data from “What do we do with all this?”

Data as Code is an approach that gives teams — from DevOps to DataOps, Data Scientists and beyond — the ability to process, manage, consume, and share data in the same way we do for code during software development.

By taking a Data as Code approach, companies can manage data programmatically, set up automated continuous integration and deployment pipelines for data, add the ability to version, package, clone, branch, diff and merge data, and also make it collaborative across different clouds and workspaces — just as they do with their code and deployments.

Much like what GitHub does for code in developer workflows, taking this approach to data management would allow us to move ownership of data to the app level and make data inherently more mobile and shareable.