Analytics Everywhere #6: Semantic Layer for Machine Learning with Byron Allen

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