Modern cloud data warehouses lack the capability to direct query Excel, making cloud migration difficult for organizations needing to support Excel workflows.

Cube solves this problem by creating a multidimensional layer with semantic models on top of tabular data in cloud data warehouses, allowing Excel users to maintain familiar multidimensional pivot table workflows.

A new wave of tools is being built specifically for embedded analytics solutions, so we wrote a quick blog about how some of these tools fit together and why they are such great choices.

With Semantic Layer Sync, you can instantly take a PBIT file from Cube Cloud, import it in Power BI, and start building reports.

The guide identifies two primary scenarios: queries that are not pre-aggregated and those that are.

With this open source tool, you can easily migrate your existing Looker projects to Cube.

Semantic layers and metrics stores play a pivotal role in the world of data analysis. They act as bridges between raw data and actionable insights, enabling organizations to harness the full potential of their data. A semantic layer, in particular, consolidates complex data into a format that is understandable across different teams and tools, effectively translating raw data into common business terms.