What is DataOps?

DataOps is a framework that applies best practices, processes, and technologies using a collaborative approach to achieve fast, high-quality, and cost-efficient data delivery. Similar to Data Fabric, DataOps is not a tool or specific technology. Rather, it’s a set of principles focused on managing data as code, which in turn enables a deep level of automation necessary for scaling out data management. It emphasizes teamwork across a diverse set of data roles working on data analytics to eliminate misalignment between teams. Its bedrock is the ongoing quality monitoring of both data and processes to achieve customer satisfaction and efficiency. It advocates reusability, iterative short deployment cycles, and feedback loops to achieve business and customer excellence.

DataOps is applicable to raw and business-ready data. It streamlines the development, testing, deployment, and monitoring of data and its pipelines by applying proven, successful quality control...