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Plans to use Postgresql in place of sqllite as online store
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Classroom Contents
An AI Engineer Technical Guide to Feature Store with FEAST
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- 1 Video Start
- 2 Feature Store content intro
- 3 Feature Store - What is it, and how it helps?
- 4 Feature store - Details
- 5 Google Feature Store - Vertex
- 6 DataBricks Feature Store
- 7 Tecton Feature Store - FEAST
- 8 Feature Store Definition
- 9 Jupyter Notebook: Feast Installation/Init
- 10 Understanding Source Data
- 11 Setting Feature Store - Creating registry catalog and online store
- 12 Feast Architecture Review after hands-on example
- 13 Online store sqlite review
- 14 Transforming the feature values from source data
- 15 Understanding Online and offline store
- 16 Features added to online store validation
- 17 Machine Learning with online features
- 18 Saving Model
- 19 Using historical data and saved model to score
- 20 Content Review
- 21 GitHub review to Jupyter Notebook
- 22 Plans to use Postgresql in place of sqllite as online store
- 23 Credits
