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: community members Eva Schreyer and Lucas Silbernagel 🏠Venue Host: Enpal office @ Germany 🍕Catering: TBA

The Enpal HQ is located on the 5th and 6th floors of a large glass tower opposite the Ostbahnhof. Please make sure to enter the building from the side facing Hermann-Stöhr-Platz. In the foyer, Enpal team members will be there to check you in and to open the gates to the elevators for you. From there, take the elevator to the 6th floor, where you want to head to the kitchen. Signage will guide you.Please note that building access is only available between 5:45 pm and 7:00 pm. After that, no one will be available downstairs to let you in.

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 PM \| Check in/Registration
• 6:30 PM \| Welcome Remarks & Housekeeping by Enpal
• 6:45 PM \| What's new with dbt? (Stephan Durry, dbt Labs)
• 7:00 PM \| 1. Talk: Streamlining dbt: How to Build a Project Structure that Keeps Your Team on the Same Page (Ekaterina Khrushch, Contentful)
• 7:30 PM \| 2. Talk: The (non) alternatives to dbt (Louis Guitton, Freelance Data Engineer)
• 8:00 PM \| 3. Talk: Tougher Than Berghain Bouncers: Crafting a CI Pipeline for Your dbt Repo That Turns Away the Unworthy (Noel Spencer, Enpal)
• 8:30 \| Networking & Reception

➡️ Join the dbt Slack community: https://www.getdbt.com/community/ 🤝For the best Meetup experience, make sure to join the #local-berlin channel in dbt Slack (https://slack.getdbt.com/). ---------------------------------- dbt is the standard in data transformation, used by over 40,000 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/