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Watch On-Demand: Quick Queries and Responsive Reporting with a Semantic Layer

Build faster and more responsive embedded analytics

  • Cube

Watch on-demand here


In this webinar, the primary focus was to shed light on the potential of using a semantic layer for generating quick queries and reports. The key speaker, Paco Valdez, a Lead Solution Architect at Cube outlined the capabilities of Cube. Here's a rundown of five significant takeaways from the conversation.

1. The Role of a Semantic Layer

Semantic Layers play an indispensable role in BI Analytics. Cube introduces itself as a semantic layer that serves as a “single source of truth” for all data applications, resulting in the resolution of duplicative efforts and conflicting definitions prevalent in data modeling.

2. The Four Pillars of Cube

Cube rests on four essential pillars: data modeling, access control, caching, and APIs. The data modeling aspect involves defining measures, dimensions, and hierarchies. Access control, on the other hand, governs who can interact with which data set. In terms of APIs, Cube provides REST API, GraphQL API, and SQL API that permits connectivity to various frontend applications.

3. Cache Your Way to Speed

Inspired by the way web apps were traditionally constructed, Cube integrates a caching layer. The session emphasized the idea of a query cache - a cache that effectively stores queries made by frontend applications for rapid communication with the data warehouse. Query caching can significantly enhance the speed of embedded analytics, making Cube a compelling choice.

4. Query Propagation

Another key topic was Cube’s concept of query propagation. This mechanism is used for accelerating query execution and improving the overall performance of reporting. In Cube, query propagation helps in defining dimensions and measures, playing a pivotal role in ensuring efficient use of resources.

5. Emphasis on Cardinality

During the webinar, cardinality’s concept was explained in detail. Cardinality plays an integral part in query propagation which immeasurably improves performance. Having the capability to create derived measures and filters in Cube, and demonstrating the Linux insights dashboard, Paco highlighted the importance of cardinality in his talk.

The session was wrapped up with Paco revealing resources for attendees wanting to enhance their understanding of Cube’s offerings. Overall, the webinar served as a platform for discussing the importance of a semantic layer and its beneficial role in swift query generation and proficient reporting.