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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.

🤝Organizer: Philip Morris International
🏠Venue Host: Karlovo nám. 2097, 120 00 Nové Město
🍕Catering: Fingerfood and drinks

Agenda & Speakers
5:00 PM | Registration & Welcome
5:30 PM | Intro by PMI
5:45 PM | "For Builders, by Builders - What's news at dbt Labs" - 🎤 Stephan Durry (dbt Labs)
6:15 PM | 1. Talk: Running dbt in a Highly Regulated Enterprise - 🎤 (Mike Vilimek, father of dbt @ PMI)
6:45 PM | 15min Breather
7:00 PM | 2. Talk: From Fabric to Fantastic: How dbt Makes Your Lakehouses and Warehouses Shine - 🎤 (Sam Debruyn, dbt Champion & Microsoft MVP)
7:30 PM | The dbt Quiz
7:45 PM | Networking & Community Time

Important Notes:

  • The venue has capacity limits. Please RSVP if you intend to come and change your RSVP status on the Meetup to "Not Going".
  • The doors open at 5pm. If you arrive before, we may not be ready to welcome you yet!
  • The doors will close at 5.40pm.
  • To attend, please read the Health and Safety Policy and Terms of Participation: https://www.getdbt.com/legal/health-and-safety-policy

Since 2016, dbt Labs has been on a mission to help data practitioners create and disseminate organizational knowledge. dbt is the standard for AI-ready structured data. Powered by the dbt Fusion engine, it unlocks the performance, context, and trust that organizations need to scale analytics in the era of AI. Globally, more than 60,000 data teams use dbt, including those at Siemens, Roche and Condé Nast.

Learn more at getdbt.com, and follow dbt Labs on LinkedIn, X, Instagram, and YouTube

➡️ Join the dbt Slack community: https://www.getdbt.com/community/
🤝Join the #local-czsk channel in dbt Slack (https://slack.getdbt.com/).

Related topics

Events in Prague, CZ
Data Analytics
Data Engineering
Data Management
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