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The dbt community in Boston is growing and we are thrilled to be organizing the first Meetup! While we won't be able to gather in-person, we are looking forward to hearing from two fantastic speakers, and getting to meet some of the Boston data teams currently implementing dbt.
For the best Meetup experience, make sure to join the #events-bos channel in dbt Slack (https://slack.getdbt.com/).
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Speaker Lineup
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Designing more informative data models with dbt
Ashley Sherwood, Senior Data Analyst
📣HubSpot
Data Stack: Snowflake, dbt, Airflow, Looker
HubSpot’s partner program includes hundreds of solution resellers around the world, and represents a significant portion of the company’s revenue. Ashley identified a gap in the team’s ability to report on the engagement of this valuable segment then built a new table to solve this gap. Learn how she designed the data model in dbt, and collaborated with business users to leverage the new insights this model delivered for 2020 annual planning.
Bridging the "GAAP" between Finance and BI with dbt
Christopher Bertrand, Data Scientist
📹Wistia
Data Stack: Fivetran, Redshift, dbt, Mode
Modelling revenue was Wistia's first large-scale dbt project. Three years on, this work continues to pay dividends by providing insights across the business. In this talk, Chris will walk through the history of this project, highlighting the key improvements made to increase the usability and accuracy of the financial data set.
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dbt 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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