Building dashboards over a semantic layer with Superset and Cube

The tutorial discusses the importance of building robust data visualizations using Apache Superset with a semantic layer provided by Cube, an open-source headless BI platform. It highlights how Cube can help prevent dashboards from breaking due to upstream changes in the data source, such as column renames or removals, table alterations, or changes in the data source itself. The tutorial showcases how Cube's development mode allows for easy updates to the data model, which can be deployed to a production environment without affecting Superset dashboards. It also introduces Cube's alerts feature, which provides email notifications when an alert is triggered due to issues such as pre-aggregation build failures or database unavailability. By using Cube with Superset, users can build robust and maintainable data visualizations that minimize the risk of breaking dashboards due to upstream changes.

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