What we’re about
With dbt, data analysts and engineers can build analytics the way engineers build applications.
We will predominantly focus on people's experience with dbt, but will also discuss broader topics related to data teams, such as data stacks, data ops, modeling, testing, and team structures.
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➡️ Join the dbt Slack community: https://www.getdbt.com/community/
🤝🏽 Be part of the conversation in the #local-boston channel in dbt Slack! This is where the chat will also take place during meetups.
Upcoming events (1)
See all- Boston dbt Meetup - Q3 Edition!Rapid7, Boston, MA
Join the data engineering community on September 27 and hear two more stories of end-user experiences with dbt. We will predominantly focus on people's experience with dbt, but will also discuss broader topics related to data teams, such as data stacks, data ops, modeling, testing, and team structures.
Come hang out with some awesome data practitioners, have a bite to eat, and hear great presentations
Capturing History in dbt
Daniel Allen, Lead Data Engineer, Rapid7Our story of dynamically capturing history on Snowflake tables through our dbt models Summary: Capturing history is a common and valuable practice within data engineering. It is useful for understanding the lifecycle of your data, for auditing changes, and to see point-in-time snapshots of datasets. Using Snowflake and dbt, I will talk through how we implemented dynamic history capture that can be easily applied to any model within dbt. I'll discuss the design and the technical implementation of our history capture process along with the benefits and limitations of our approach.
Talk Title TBA
Jason Hall, Senior Solutions Architect, UpsolverA big thank you to our friends at Rapid 7 for hosting this event!
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-boston 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/
