Sept. 19, 2023, 2 a.m. | Beinan Wang and Hope Wang

InfoWorld Analytics www.infoworld.com



Presto is a popular, open source, distributed SQL engine that enables organizations to run interactive analytic queries on multiple data sources at a large scale. Caching is a typical optimization technique for improving Presto query performance. It provides significant performance and efficiency improvements for Presto platforms.

Caching avoids expensive disk or network trips to refetch data by storing frequently accessed data in memory or on fast local storage, speeding up overall query execution. In this article, we provide a deep …

analytics big data caching data database data sources deep dive distributed distributed sql efficiency hadoop interactive multiple network open source optimization organizations performance platforms popular presto query scale sql sql engine

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Intern Large Language Models Planning (f/m/x)

@ BMW Group | Munich, DE

Data Engineer Analytics

@ Meta | Menlo Park, CA | Remote, US