CI/CD in MLOps – Implementing a Framework for Self-Service Everything

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.

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Instagram: https://www.instagram.com/databricksinc/ Databricks is proud to announce that Gartner has named us a Leader in both the 2021 Magic Quadrant for Cloud Database Management Systems and the 2021 Magic Quadrant for Data Science and Machine Learning Platforms. Download the reports here. https://databricks.com/databricks-named-leader-by-gartner

Видео CI/CD in MLOps – Implementing a Framework for Self-Service Everything канала Databricks