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BrandPost: Evolving the IT Culture to Embrace DataOps

IDC defines DataOps as “a practice that enhances collaboration between data consumers and data creators — either of which can be humans or machines.”

Built on the theory of DevOps, DataOps goes much further, since it is more than just merging two engineering-related disciplines. Instead, “DataOps encompasses everyone from the beginning of the data supply chain where data originates (from IoT devices to enterprise applications to massive third-party repositories such as the Open Data Initiative) to all the people who model and blend data all the way to those who put it to use in applications and analytics,” according to The Cultural Impact of DataOps: Collaboration, Automation and the War on Silos, a Hitachi Vantara whitepaper.

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