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Copenhagen dbt Meetup vol. 2 2023-09-28 · 15:30

🤝Organizer: Intellishore

🏠Venue Host: Lederne - Vermlandsgade 65, 2300 København

Agenda & Speakers

17:30: Meet new people and catch up with old acquaintances over drinks and snacks

17:45: Event kick-off and Welcome (Hosted by Anders Boje Hertz, Head of AI & Data platforms at Intellishore & Marie-Christin Henkelmann, Senior Consultant at Intellishore)

18:00-20:00 - Speaker sessions Petr Janda, Co-Founder & CEO at the Synq - Building Reliable Data Platforms—With today's increasingly complex data systems\, detecting errors is challenging. Inspired by lessons from dozens of dbt & data warehouse deployments\, we will walk through how we've created a robust testing strategy to prevent issues in data platforms at Synq.

Mia Nørgaard Fugl, Senior Analytics Engineer at Pleo - How we decided to build a new dbt data modeling repository and why we didn't want to fix our old one. A story about rolling out dbt at a company at scale and the do's and don'ts we learned along the way.

Migration to dbt and Snowflake: Lessons learned and technical walkthrough by Henrik Varmer, Head of Data & Analytics at Lederne - We share valuable lessons from Lederne's experience migrating our data stack to Snowflake and dbt. You will get valuable insights from both the initial business and cost considerations prior to the migration\, as well as a technical walkthrough of a real example of migrating complex data and business logic in dbt.

20:00: 🍕 Food & socializing - Continue the conversation over food and drinks.

20:45: Over and out

To attend, please read the Required Participation Language for In-Person Events with dbt Labs: https://bit.ly/3QIJXFb

➡️ Join the dbt Slack community: https://www.getdbt.com/community/

🤝For the best Meetup experience, make sure to join the #local-denmark channel in dbt Slack (https://slack.getdbt.com/).

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dbt is a data transformation framework that lets analysts and engineers collaborate using their shared knowledge of SQL. 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/

Copenhagen dbt Meetup vol. 2
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