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BigQuery as a Feature Store for AI/ML Applications
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- 1 [] Nicolas' preferred beverage
- 2 [] Takeaways
- 3 [] Please like, share, leave a review, and subscribe to our MLOps channels!
- 4 [] BigQuery end goal
- 5 [] BigQuery pain points
- 6 [] BigQuery vs Feature Stores
- 7 [] Freelancing Rate Matching issues
- 8 [] Post-implementation pain points
- 9 [] Feature Request Process
- 10 [] Feature Naming Consistency
- 11 [] Feature Usage Analysis
- 12 [] Anomaly detection in data
- 13 [] Continuous Model Retraining Process
- 14 [] Model misbehavior detection
- 15 [] Handling model latency issues
- 16 [] Accuracy vs The Business
- 17 [] BigQuery cist-benefit analysis
- 18 [] Feature stores cost savings
- 19 [] When not to use BigQuery
- 20 [] Real-time vs Batch Processing
- 21 [] Register for the Data Engineering for AI/ML Conference now!
- 22 [] Wrap up
