@mehdio is taking you to part 2 of this end-to-end data engineering project series: transform data using dbt and DuckDB! You will be leveraging all the in-memory capabilities of DuckDB to smooth your development process and deployment to the cloud.
Part 3 :
https://youtu.be/ta_Pzc2EEEo
Part 2 :
https://www.youtube.com/watch?v=3pLKTmdWDXk
☁️🦆 Start using DuckDB in the Cloud for FREE with MotherDuck : https://hubs.la/Q02QnFR40
📓 Resources
* Github Repo of the tutorial : https://github.com/mehd-io/pypi-duck-flow
* Part 1 of the series (Ingestion using Python & DuckDB) :
https://www.youtube.com/watch?v=3pLKTmdWDXk&t
* How to install DuckDB CLI : https://duckdb.org/docs/installation/index?version=latest&environment=cli&installer=binary&platform=macos
* dbt unit testing package : https://github.com/EqualExperts/dbt-unit-testing
* dbt-duckdb adapter : https://github.com/duckdb/dbt-duckdb
➡️ Follow Us
LinkedIn: https://linkedin.com/company/motherduck
Twitter : https://twitter.com/motherduck
Blog: https://motherduck.com/blog/
0:00 Intro
1:38 Architecture recap
3:32 Coding the transform pipeline using dbt & DuckDB
35:01 Wrapping up & what's next
#duckdb #dataengineering #sql #python