Montréal Data Science & Engineering Meetup: Trino and Industry Use Case


Details
TLDR: Interested in learning about a cutting edge data engineering tool, and a real-world data science use case? We're organizing an event in Montréal, with networking and pizza!
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Join us in-person in Montréal or virtually!
There will be two back-to-back talks: the first one will be an industry use case presented by QuantumBlack (this one will not be broadcasted); the second one will be a presentation on Trino in Boston, and we'll join them remotely.
We will be serving pizza and non-alcoholic drinks. Separate, advance registration is required here: **[https://events.quantumblack.com/gettingtoknowtrino ](https://events.quantumblack.com/gettingtoknowtrino)**Meetup RSVP's do not save your spot.
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Agenda:
5:45 - Welcome & Networking with food and beverages
6:05 - Presentation #1: Getting to know Trino (Remote session held in Boston)
6:45 - In-person Q&A, break and networking
7:00 - Presentation #2: Industry use case - AI at a multinational Energy & Materials company (In-person by QuantumBlack)
7:35 - Q&A and more networking!
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About Trino
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
Kevin Haley is a product manager for Starburst Enterprise, the commercial enterprise version of Trino.
About the Speaker: Louw Truter
Louw Truter will be presenting our second session on "Industry use case - AI at a multinational Energy & Materials company". Louw is a Senior Data Scientist from the QuantumBlack Montréal office, with experience around the world in AI transformations at energy, mining, materials, and advanced industries companies. He will present how QuantumBlack uses internal assets for advanced analytics work in the Energy & Materials industry.
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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.
Please register here by noon ET on Apr 5th to receive an email with location details or the Zoom link.
Hosts are bilingual (French & English), however the presentations and Q&A will be mainly in English.

Montréal Data Science & Engineering Meetup: Trino and Industry Use Case