Enhancing Trino's query performance and data management with Hudi: innovations and future 

In the ever-evolving landscape of big data and analytics, efficient data management and retrieval systems are paramount. In this talk, Ethan Guo from OneHouse will embark on an enlightening journey through the development and innovation of the Hudi connector in Trino, tracing its roots back to the inception via the Hive connector.
He will also dive deep into the Hudi connector's unique capabilities that set it apart from conventional file listing and partition pruning methods for query optimization. He'll explore the specialized features in Hudi, such as its multi-modal indexing framework which incorporates support for Column Statistics and Record Index, highlighting how these features enhance query performance for both point and range lookups.
The presentation will outline the ambitious roadmap for the Hudi connector, including the expansion of the multi-modal indexing framework, Alluxio-powered file system caching, and the introduction of DDL/DML support. These advancements promise to further refine data management capabilities with the Hudi connector in Trino, offering more flexibility and efficiency in handling large-scale data operations.