Managing Apache Superset Assets as Code with Preset
Blog post from Preset
Apache Superset, complemented by the Preset CLI, provides a comprehensive framework for managing data assets like databases, datasets, charts, and dashboards through a user-friendly interface and as code using YAML files. The integration of the Superset API allows for resource management and the use of version control systems, while GitHub Actions facilitate continuous deployment to multiple workspaces. The CLI simplifies complex operations, enabling effortless management across various environments and supports templating with Jinja2 for asset customization. This setup allows for the seamless export and import of Superset assets, promoting efficient version control and deployment strategies. Additionally, the ability to utilize custom Python functions within templates broadens the scope for advanced customizations, making the management of data visualization projects more scalable and adaptable.
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