Generating ML-Ready Pipelines With dbt And Snowpark

Hope Watson, Partner Engineer at dbt Labs, provides an in-depth demonstration on how to use dbt cloud to generate analytics and ML-ready pipelines with both SQL and Python.
To follow along, checkout the GitHub repo and the docs:
github.com/dbt...
docs.getdbt.co...
For more information about dbt Labs:
→Website: www.getdbt.com
→LinkedIn: / dbtlabs
→Twitter: / getdbt
Connect with Hope Watson of dbt:
→LinkedIn: / hopewatson
❄ Join our UA-cam community ❄
→ bit.ly/3lzfeeB
Learn how to build your application on Snowflake:
→ developers.snowflake.com
Join the Snowflake Community:
→ community.snowflake.com

[@ChrisBolyard]

Is a source repo available?

[@snowflakedevelopers]

Hi there! Please see the source repo linked in the video description. Thanks!

[@fun2badult]

I'm getting an error when running "dbt build --select ml_data_prep". I'm getting " TypeError: unsupported operand type(s) for +: 'datetime.date' and 'datetime.date'
in function ML_DATA_PREP__DBT_SP with handler main"

[@matteovaiente214]

Cool stuff. Would love a source repo as well.

[@snowflakedevelopers]

Hi there! Please see the source repo linked in the video description. Thanks!