Getting to Know Trino (Separate Registration)

Join us in Boston or virtually! This meetup is 21+ (with pizza & beer served) and separate, advance registration is required here:
https://events.quantumblack.com/gettingtoknowtrino
Meetup RSVP's do not save your spot.

The Trino query engine brings data engineers the power of SQL for a diverse range of data sources. It is suitable for high-performance analytics due to its design and architecture supporting massive horizontal scaling. With over 10 years of successful adoption throughout the industry, Trino can be a major part of your data stack.

Join us to learn about Trino, its architecture and use cases, and see it in action.

Kevin, members of the Trino developer relations team, and contributors to the open source Trino project are available to answer any questions and dive deeper into any aspects the audience wants to discuss.

Trino is a fast distributed SQL query engine for big data analytics that helps you explore your data universe. Learn more, download Trino and join the Trino community at: [Trino.io](https://trino.io/)

About the Speaker:
Kevin Haley is a product manager for Starburst Enterprise, the commercial enterprise version of Trino.

Agenda:
5:30 - Networking with pizza, beer and other beverages
6:00 - Welcome & Introduction
6:05 - Trino Presentation / Questions & Answers
7:00 - More Networking
8:00 - Meetup Ends

Location: Starburst office near South Station, Boston.
***
This meetup is brought to you in partnership with:

QuantumBlack - The Machine Learning and AI center of innovation and excellence of McKinsey & Company. We operate at the intersection of strategy, technology and design to improve performance outcomes for companies and we bring together the brightest data scientists, engineers and designers to take on the biggest problems facing organizations.

Starburst - A single point of access to all your data. Starburst Enterprise, based on open-source Trino (formerly PrestoSQL) is the fastest SQL-based MPP query engine. We give your team a common query tool, abstracted from the systems that store your data, that gives them the ability to run analytics on data where it lives. No data movement or copies required.

Government-issued ID is required to attend in person.
Due to security, please register here by noon ET on Apr 5th to receive an email with the location details and the Zoom link.