Analytics Everywhere #6: Semantic Layer for Machine Learning with Byron Allen
Description
Welcome to this episode of the Analytics Everywhere podcast! In episode #6, Max chats with Byron Allen, the ML Practice Lead at Contino. In this episode, we chat about a variety of topics around the challenges of operationalizing data:
- organizational difficulties around data (data mesh vs centralized data warehouse / governance)
- what a semantic layer really is
- thin vs thick semantic layers
- entity / dataset centric modelling
- the idea of a unified semantic layer for ML and BI
- batch vs real-time ML use cases
- experimentation frameworks
- and much much more!
We hope you enjoy this episode!
Links:
Byron Allen: https://www.linkedin.com/in/byronaallen/
Byron Allen's conversation about entity centric modeling: https://youtu.be/9YcLBSqZNzE?t=2977
Drew Banin's talk at apply(): https://www.tecton.ai/apply/session-video-archive/the-dbt-semantic-layer/
Preset: https://preset.io/product
Subscribe to the podcast here: https://anchor.fm/analytics-everywhere
United States
