Using open source *Delta Lake* and *dbt* in your ML data pipelines [Demos + Webinar]
RSVP Webinar: https://www.eventbrite.com/e/webinark...
[00:00:00] Talk #0: Introductions and Meetup Announcements By Chris Fregly and Antje Barth
[00:04:00] Talk #1: Using Delta Lake with Amazon SageMaker by Paul Hargis, Senior Solution Architect, AI and Machine Learning @ AWS
[00:35:34] Talk #2: How to efficiently manage the Data Engineer | Data Scientist handoff with dbt, Redshift, and Sagemaker by Matt Winkler from dbt Labs
Description: dbt (data build tool) is an open source transformation framework which enables testing, documentation, and version control on top of data pipelines. In this talk, we’ll discuss how dbt can be used to manage feature engineering pipelines for Machine Learning, and the handoff points between dbt and models managed in AWS Sagemaker.
Speaker Bio: Hi, I’m Matt! I’m an ex- data scientist who chose to embrace the simplicity of SQL in managing and testing data pipelines with dbt. I’ve previously worked as a hands-on ML practitioner, and consulted with Fortune 500 clients to build and maintain ML Ops pipelines using (mostly) AWS Sagemaker. I live in the Denver area, and you can say hello on dbt Slack or on LinkedIn.
https://docs.getdbt.com/docs/about/vi...
https://github.com/dbt-labs/dbt-core
https://docs.getdbt.com/docs/availabl...
RSVP Webinar: https://www.eventbrite.com/e/webinark...
Zoom link: https://us02web.zoom.us/j/82308186562
Related Links
O'Reilly Book: https://www.amazon.com/dp/1492079391/
Website: https://datascienceonaws.com
Meetup: https://meetup.datascienceonaws.com
GitHub Repo: https://github.com/data-science-on-aws/
YouTube: https://youtube.datascienceonaws.com
Slideshare: https://slideshare.datascienceonaws.com
![[WORKSHOP] Generative AI and Large Language Models: Fine-tuning with SageMaker + PEFT + RLHF + PPO](https://images.videosashka.com/watch/fLPNMleobgY)
