TutorialIntroducing Querying History Constrained Algorithm for Data Cube Lattice Calculation
Define and manage metrics upstream to consolidate your workflow, centralize definitions, and create a single source of truth.
Grant column- and role-based operational and viewing permissions upstream with granular access controls.
Ensure your data is reliably performant with a powerful caching layer and advanced preaggregation capabilities.
Connect your data to any front-end application to build beautiful custom visualizations with Cube’s GraphQL, REST, and SQL APIs.
Cube’s API-first approach and SQL-compliant protocol enable you to maintain every BI tool or data app with consistent metrics definitions, access control, and caching.
Integrate with anything
Redundantly and directly querying your data source results in latency and unnecessary costs. Cube’s caching layer, pre-aggregations, and query queuing fix that.
Reconfiguring data access control for every data app in your stack opens the door to inconsistencies and gaps. Centralize permissions upstream for uniform security.
With Cube, we’ve been able to speed up time to release a new data model to production by 5x and decrease analytics downtime by 90%.
Senior Data Engineer at Cloud Academy
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