The Analytics Everywhere Podcast: 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 modeling
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!
#data #datavisualization #dataintegration #moderndatastack
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Links:
Byron Allen: / byronaallen
Byron Allen's conversation about entity centric modelling: • ML Flow vs Kubeflow 2022 // Byron Allen //...
Drew Banin's talk at apply(): https://www.tecton.ai/apply/session-v...
Preset: https://preset.io/product
Subscribe to the podcast here: https://anchor.fm/analytics-everywhere