DataOps#
DataOps, also known as data operations, is a set of practices, tools, and techniques for improving the collaboration, automation, and integration of data-related processes within an organization. DataOps is based on the principles of agile software development, and aims to accelerate and improve the delivery of data-driven services and products. DataOps involves a range of activities, such as data integration, data quality management, data governance, and data security. It involves close collaboration between data engineers, data scientists, and other data professionals, as well as with business stakeholders and IT teams. DataOps is an emerging field that is gaining popularity as organizations increasingly rely on data-driven decision making.