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London dbt Meetup online

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Fatima C.
London dbt Meetup online


dbt Meetups are gatherings dedicated to helping you own your analytics engineering workflow. Events will focus on the impact of dbt (data build tool) 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!!


Join the conversation in the #local-ldn channel in dbt Slack! This is where the chat will take place during meetups.

Receive an invite to join the dbt Slack community:


✨ Speaker Lineup✨

🎤 CI/CD pipeline using dbt, Docker, and Jenkins
🤝 Ben Balde, Data Engineer, Simply Business

In this presentation, Ben will dive into:

  • how to use Docker to host a dbt image shared by users/systems
  • how running dbt in a container has made it easier for Simply Business to onboard new users
  • how to create a robust Jenkins CI/CD pipeline by building automated dbt tests that run against production data and reduce the risk of broken code reaching the production database

🎤 How to make a case for adopting dbt
🤝 Andrea Fabry, Senior Data Engineer, VTS

How do you weigh the pros and cons of introducing a new tool to your data stack? VTS, a proptech unicorn with over 400 global employees, is currently running proof of value with dbt. In this talk, Andrea will share how her team set up the project to demonstrate the value dbt adds by helping data engineers write modular, performant, well-tested, and well-documented code.


⏰ Agenda (GMT)

6:15 - 6:20 PM: Welcome remarks
6:20 - 6:40 PM: CI/CD pipeline using DBT, Docker, and Jenkins, Ben Balde
6:40 - 6:50 PM: Q&A with Ben
6:50 - 7:10 PM: How to make a case for adopting dbt, Andrea Fabry
7:10 - 7:20 PM: Q&A with Andrea
7:20 - 7:25 PM: Closing remarks


dbt is a command-line tool that speaks the preferred language of data analysts everywhere—SQL. With dbt, analysts take ownership of the entire analytics engineering workflow, from writing data transformation code to deployment and documentation.

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