DataOps is a set of practices that aims to improve the speed and quality of data analytics. It combines principles from DevOps, which focuses on software development and operations, with data management. By fostering collaboration between data engineers, data scientists, and business stakeholders, DataOps helps organizations deliver data-driven insights more efficiently. The main goal of DataOps is to streamline the data lifecycle, from data collection to analysis and reporting. This approach emphasizes automation, continuous integration, and feedback loops, allowing teams to respond quickly to changing business needs and ensure that data is accurate and accessible.