BigQuery is a powerful data warehouse known for handling large datasets, but its distributed architecture results in slower response times, making it less ideal for applications requiring rapid data retrieval, particularly for dynamic dashboards. To address this, an acceleration layer using Cube.js is proposed to enhance performance by storing small, aggregated tables, known as pre-aggregations, in Cube Store. This setup allows sub-second response times by serving queries from pre-aggregations instead of directly accessing BigQuery. A step-by-step guide explains how to configure Cube.js to connect with BigQuery, create data schemas, and set up pre-aggregations, enabling improved performance for dynamic front-end applications. A demo using the public Hacker News dataset showcases how pre-aggregations significantly boost performance compared to querying raw data, with source code available on GitHub for further exploration.