Keynote: Presto – Swiss Army Knife for the Lakehouse – Tim Meehan
Presto has long been known for its ability to bridge together multiple sources of data using a single consistent language. Learn about the future direction and initiatives that will make Presto even more convenient, reliable and efficient for the Lakehouse.
The Past, Present, and Future of Presto – Philip Bell, Meta
PrestoDB recently underwent major architectural updates as the Presto Foundation grows membership and is looking to vastly grow the number of new commits and forks. Achieving this desired end state required successful refactoring and improving of Presto’s already impressive speed, efficiency, reliability, and extensibility. Establishing PrestoDB as a premier Open Source project required a major commitment of time and resources from Meta to ensure the community can benefit from this project for years to come, as well as positioning PrestoDB to evolve beyond what Meta alone could create. Members of the Presto Foundation need more of you to be involved in this major evolution in Presto’s history and core components, and bring your own inventive ideas to the mix.
Predicting Resource Usages of Future Queries Based on 10M Presto Queries at Twitter
Here, Chunxu and Beinan would like to share what they have learned in developing a highly-scalable query predictor service through applying machine learning algorithms to ~10 million historical Presto queries to classify queries based on their CPU times and peak memory bytes. At Twitter, this service is helping to improve the performance of Presto clusters and provide expected execution statistics on Business Intelligence dashboards.
A Tour of Presto Iceberg Connector – Beinan Wang, Alluxio & Chunxu Tang, Twitter
Apache Iceberg is an open table format for huge analytic datasets. The Presto Iceberg connector consolidates the SQL engine and the table format, to empower high-performant data analytics. Here, Beinan and Chunxu would like to discuss and share the architectural design of the Presto Iceberg connector, advanced Iceberg feature support (such as native iceberg connector, row-level deletion, and iceberg v2 support), and the future roadmap.
Presto, Today & Beyond – Dipti Borkar, David Simmen, Girish Baliga & Biswapesh Chattopadhyay
In this PrestoCon talk, team of community experts share Presto evolution, Today & Beyond
Presto and Apache Iceberg – Chunxu Tang, Twitter
Apache Iceberg is an open table format for huge analytic datasets. At Twitter, engineers are working on the Presto-Iceberg connector, aiming to bring high-performance data analytics on Iceberg to the Presto ecosystem. Here, Chunxu would like to share what they have learned during the development, hoping to shed light on the future work of interactive queries.
Level 101 for Presto: What is PrestoDB?
In Level 101, you’ll get an overview of Presto, including: A high level overview of Presto & most common use cases The problems it solves and why you should use it A live, hands-on demo on getting Presto running on Docker Real world example: How Twitter uses Presto at scale
Level 102 for Presto: Getting Started with PrestoDB
In this tech talk, we’ll build on what we learned in Level 101 and show you how easy it is to get started with PrestoDB. We’ll also dive deeper into key features and connectors.
Level 103 for Presto: Deep Dive into the PrestoDB architecture at Twitter
In this tech talk, we’ll take a look at the PrestoDB architecture in more technical depth. Next, we’ll have the Presto engineers at Twitter share their PrestoDB use case and architecture which includes several large Presto clusters with over 2,000 nodes.