DataOps: How to Develop and Scale Data Intensive Projects

Tinybird's approach to building data-intensive projects involves collaborating with data and engineering teams to discover innovative ways to develop, maintain, and scale these projects by adopting a DataOps culture. Similar to DevOps, which enhances productivity and collaboration in software development, DataOps is a set of practices and tools that fosters cooperation among data scientists, data engineers, infrastructure engineers, and developers, enabling them to work with data as if it were source code. This approach breaks down traditional silos in data teams, allowing for full autonomy, ownership, and accountability over the data product while facilitating faster iteration and delivery of high-quality solutions. By applying the principles of DataOps, teams can handle requirements, develop, deploy, and support data products efficiently with better performance metrics, latency control, and service level agreements.