LST-Bench is a framework that allows users to run benchmarks specifically designed for evaluating Log-Structured Tables (LSTs) such as Delta Lake, Apache Hudi, and Apache Iceberg.
An interesting data cleaning scenario is presented in this tutorial: Using Trino and Iceberg for data warehousing. The scenario relies on the NYC Taxi dataset and is implemented using Iceberg and the Trino engine. Thus, it seems it is well-suited to be included in LST-Bench, possibly extending it to other table formats and engines.
An interesting data cleaning scenario is presented in this tutorial: Using Trino and Iceberg for data warehousing. The scenario relies on the NYC Taxi dataset and is implemented using Iceberg and the Trino engine. Thus, it seems it is well-suited to be included in LST-Bench, possibly extending it to other table formats and engines.