SATURN 2019

A continuum of technology advances is providing the momentum and the desire to derive more value from data (visualization tools, cloud services, IoT, AI, and ML). DevOps/Agile focuses on delivering business value through rapid, high-quality software delivery; DataOps has a parallel need to deliver rapid business value by reducing the end-to-end cycle time of data analytics and data science. Math, analytics, and data science need to have the same rigors as software engineering, including change control, configuration management, and release management. But analytics practices often lack these rigors, and it is a problem! This talk is an introduction to the emerging principle of DataOps. Each topic covered includes real-world examples from my current clients, largely in the government sector including civilian and defense.