This hands-on course teaches you how to use JSONata within Swimlane Turbine to transform, reshape, and control JSON data inside automation workflows. Through structured, guided exercises in the JSONata Exerciser, you’ll build fluency with expressions, context, mapping, filtering, variables, and functions—developing the skills needed to write clean, maintainable transformations.

The course progresses from foundational concepts to applied automation patterns, culminating in real-world scenarios that demonstrate how to format alert data, scale transformations across arrays, and prevent duplicate processing. By the end, you’ll be prepared to design efficient, production-ready data transformations that support reliable Turbine playbooks.
Time for completion is approximately 60m.