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How can companies create predictable, repeatable, secure self-service workflows for their Data Science teams? Discover how J. B. Hunt, in collaboration with Artis Consulting, created an MLOps framework using automated conventions and well-defined environment segmentation. Learn how you can achieve predictable testing, repeatable deployment, and secure self-service Databricks resource management throughout the local/dev/test/prod promotion lifecycle.
The first part of the talk will focus on the core values, concepts, and conventions of the framework. The second part of the talk will include a technical demo of how to implement the self-service automation of Databricks resources and code and jobs deployment into Azure DevOps CI/CD pipelines.