Building data applications with Starburst Galaxy and Trino

Emily Sunaryo, a Developer Relations Engineer, explores the use of Starburst Galaxy and Trino in building data applications, demonstrating their potential to enhance query performance and expand their utility from data engineers to app developers. The project utilizes open-source NYC rideshare and weather data to create a rideshare analytics dashboard, analyzing factors like location, weather, and time on traffic data points. By using the trino-js client, developers can leverage Trino’s powerful SQL engine to manage backend data requests without directly handling the complexities of Trino's REST API. The process involves integrating Starburst Galaxy with modern front-end technologies, configuring catalogs in AWS S3, and utilizing schema discovery for data management. This initiative highlights the practical application of big data in creating independent, custom data applications that derive analytical insights for business decisions, distinguishing them from traditional BI tools. The article concludes with a promise of further exploration into implementing the trino-js client within a React application in a subsequent blog post.

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