dbt Meetup at Bowery Farming

New York dbt Meetup
New York dbt Meetup
Public group
Location image of event venue


Come join us at Bowery Farming (https://boweryfarming.com/) for the first dbt Meetup of the new year!

This event is open to all folks working with data—while we'll predominantly focus on people's experience with dbt, we're also very interested in broader topics related to analytics engineering, such as data stacks, data ops, modeling, testing, and team structures.

Doors open at 6:30pm, for a 6:45 start! We'll bring the food and drinks, just make sure you have your ID to sign in!

Migrating 387 dbt models from Redshift to Snowflake
The Bowery Farming Data Team 👩‍🌾

Bowery Farming have just completed their transition from Redshift to Snowflake, and along the way have picked up some things to share with the dbt community. If you're considering switching warehouse vendors, learn how Bowery took on this project: from how long it took, to the parts that were trickier than expected, and the tools they built to make make the process easier.


How to hire an analytics engineer: a candidate’s perspective
Danielle Leong

Hiring is hard, especially for an emerging role like that of an analytics engineer. In this talk, Danielle will share her experience as a candidate, from the resources she used to find roles (and where you should be posting as hiring manager), to the interviews and evaluations that she found most useful.


Using dbt + Machine Learning to predict customer conversions
Kenny Ning, Data Engineer
Better.com 🏠

If you’re currently thinking about how to use machine learning to make inferences about your business, this talk is for you. At better.com, the team is obsessed with understanding what makes borrowers go from submitting a mortgage application to ultimately funding with better.com as their direct lender. In this talk, Kenny will share the “full-stack data science” approach they took to building a model to predict conversions (hint: it features dbt).

dbt is a 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.