Introducing YAML Data Modeling in Cube
Blog post from Cube
We are excited to release a public preview for YAML data modeling in Cube, which is available in both Cube Cloud and Cube Core. Our goal is to support all core features of Cube's data modeling, caching, and multi-tenancy configurations within YAML and later Python. This feature will help data engineers streamline compatibility between different tools in their stacks by supporting universally adopted languages like YAML and Python. To get started, users need to ensure they're using version 0.31.0 or higher of Cube and create a schema/orders.yml file with specific content. The release is the first step in our journey to bring both YAML and Python support to Cube, and we plan to enhance features such as dynamic data models, configuration, documentation, cloud IDE support, and developer experience through user feedback.
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