As data plays an increasingly important role in product development, company operations, and organizational decision-making; companies are adopting “DataOps” tools, platforms, and processes “to deliver data products and services quickly, reliably, and efficiently.” In this post, Assaf Araki and Ben Lorica review how data, its users, and its use cases have changed in the past few years – and how these changes drive demand for DataOps. They identify the key components of the DataOps stack and highlight the products and services associated with the data plane and the control plane.