Recipe
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Feature Stores in MLOps

Collaborators
Reviewers
Total time needed: ~3 hours
Learning Objectives
Learn introduction and implementation of feature store in MLOps
Potential Use Cases
Feature stores to manage the data sets and data pipelines needed to productionize their ML applications.
Target Audience
BEGINNERData Scientist
Go through the following annotated items in order:
OTHER 1. What is MLOps
  • What is MLOps?
20 minutes
ARTICLE 2. Continuous delivery and Continuous deployment automation pipelines in machine learning
  • What is and how to implement and automate CI, CD, CT for ML systems?
40 minutes
ARTICLE 3. Introduction of Feature Stores in MLOps
  • What is feature stores?
15 minutes
ARTICLE 4. Feature Stores in Machine Learning
  • How feature stores help for scaling Data Science ?
60 minutes
ARTICLE 5. ML Pipeline with Feature Store
  • How to use feature stores in ML pipleines?
10 minutes

Concepts Covered