Reducing Complexity and Increasing Performance with Trino

Explore how Trino solves complex data pipeline challenges in this 34-minute keynote from the Data Science Festival. Discover Trino's decade-long history of addressing data integration issues across various industries and its support for multiple data sources, including popular relational databases, modern data lakehouse table formats, and various storage systems. Learn about Trino's fault-tolerant execution mode, optimized performance with Java 17 and upcoming Java 21, native readers and writers for object storage file formats, cost-based query planning, and horizontal scaling capabilities. Gain insights into Trino's compatibility with orchestration systems like dbt and Airflow, as well as UIs such as Superset. Delve into advanced features like table functions, table procedures, modern SQL capabilities, and extensive Python client support. Understand how Trino can simplify your data infrastructure, potentially replacing multiple tools and platforms while improving performance for pipelines and analytics workloads.