Why DataOps is the Missing Piece of Your Cloud Migration Puzzle

White paper for BMC by Charles Araujo

“Hey, the new technology is cool and all, but you know that big giant mainframe everyone hates to talk about? It’s still generating 60 percent of the revenue for this company.”

I was in the middle of a conversation between two IT executives who were discussing the challenges of balancing the development of modern, cloud-native applications against the fact that many business-critical processes—and data pipelines—are still supported on traditional systems and architectures.

The comment above is from one of those executives, who shared his frustration about a conversation he had with a peer, and hints at a growing issue that will continue to bubble up in enterprises everywhere. While much of the world is already moving to the cloud and rushing to deploy modern, data-driven applications, there’s a stubborn little problem: the most important data these applications need often lives in traditional environments.

This fact is bringing newfound relevance to an old challenge and giving rise to a modern discipline: data operations, or DataOps.

Download/read the white paper here.

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