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What are dbt meetups? dbt Meetups are networking events open to all folks working with data! Talks predominantly focus on community members' experience with dbt, however, you'll catch presentations on broader topics such as analytics engineering, data stacks, data ops, modeling, testing, and team structures. 🤝Organizers: Chitra Sundaram (Cleartelligence), Riddhima Shukla (Cleartelligence) 🏠Venue Host: 125 Summer Street, Boston 02110

🍕Catering: TBD To attend, please read the Health and Safety Policy and Terms of Participation: https://www.getdbt.com/legal/health-and-safety-policy 📝Agenda

• 6:00 - 7:00 \| Check in/Registration/ Networking (60 min)
• 7:00 - 7:05 \| Welcome Remarks by Meetup Host (5 min)
• 7:05 - 7:25 \| Presentation 1: Building a dbt-Powered Data Catalog with Rust & React (15-20 min)
• 7:25 - 7:30 \| Presentation 1 Q&A (5 min)
• 7:30 - 7:50 \| Presentation 2: How dbt compliments Starburst (15-20 min)
• 7:50 - 7:55 \| Presentation 2 Q&A (5 min)
• 7:55 - 8:00 \| Closing Remarks by Meetup Host (5 min)

🗣️Presentation #1: Building a dbt-Powered Data Catalog with Rust & React Speaker: Aidan Correll, Associate BI Engineer, Klaviyo --- 🗣️Presentation #2 How dbt compliments Starburst Speaker: Matt Fuller, Co-Founder and VP of Product, Starburst Data

➡️ Join the dbt Slack community: https://www.getdbt.com/community/ 🤝For the best Meetup experience, make sure to join the #local-boston channel in dbt Slack (https://slack.getdbt.com/). ---------------------------------- dbt is the standard in data transformation, used by over 30,000 organizations worldwide. Through the application of software engineering best practices like modularity, version control, testing, and documentation, dbt’s analytics engineering workflow helps teams work more efficiently to produce data the entire organization can trust. Learn more: https://www.getdbt.com/

• dbt Meetups are gatherings dedicated to helping you own your analytics engineering workflow. Events will focus on the impact of dbt in the data community and professional development tools for analytics engineers.
• Expect big-picture conversations related to the data stacks, data operations, data teams, modeling, testing, dashboards, etc. If you work with data, this group is for you! We welcome data analysts, scientists, engineers, architects, and more!! While students are welcome, this event is more geared toward professionals.

Perform fast interactive analytics against different data sources using the Trino high-performance distributed SQL query engine. In the second edition of this practical guide, you'll learn how to conduct analytics on data where it lives, whether it's a data lake using Hive, a modern lakehouse with Iceberg or Delta Lake, a different system like Cassandra, Kafka, or SingleStore, or a relational database like PostgreSQL or Oracle. Analysts, software engineers, and production engineers learn how to manage, use, and even develop with Trino and make it a critical part of their data platform. Authors Matt Fuller, Manfred Moser, and Martin Traverso show you how a single Trino query can combine data from multiple sources to allow for analytics across your entire organization. Explore Trino's use cases, and learn about tools that help you connect to Trino for querying and processing huge amounts of data Learn Trino's internal workings, including how to connect to and query data sources with support for SQL statements, operators, functions, and more Deploy and secure Trino at scale, monitor workloads, tune queries, and connect more applications Learn how other organizations apply Trino successfully

Perform fast interactive analytics against different data sources using the Trino high-performance distributed SQL query engine. With this practical guide, you'll learn how to conduct analytics on data where it lives, whether it's Hive, Cassandra, a relational database, or a proprietary data store. Analysts, software engineers, and production engineers will learn how to manage, use, and even develop with Trino. Initially developed by Facebook, open source Trino is now used by Amazon, Google, LinkedIn, Lyft, Netflix, Pinterest, Salesforce, Shopify, and many other companies. Matt Fuller, Manfred Moser, and Martin Traverso show you how a single Trino query can combine data from multiple sources to allow for analytics across your entire organization. Get started: Explore Trino's use cases and learn about tools that will help you connect to Trino and query data Go deeper: Learn Trino's internal workings, including how to connect to and query data sources with support for SQL statements, operators, functions, and more Put Trino in production: Secure Trino, monitor workloads, tune queries, and connect more applications; learn how other organizations apply Trino