Online feature serving on Databricks Lakebase
📰 Medium · Machine Learning
Learn how to serve features online using Databricks Lakebase for real-time machine learning model deployment
Action Steps
- Configure Databricks Lakebase for online feature serving
- Build a feature store using Databricks Lakebase
- Run a pilot project to test online feature serving
- Test and validate the feature serving pipeline
- Deploy the feature serving pipeline to production
Who Needs to Know This
Data scientists and engineers can benefit from this article to improve their ML model deployment workflow and collaborate on feature serving
Key Insight
💡 Databricks Lakebase enables online feature serving for real-time machine learning model deployment
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Serve features online with Databricks Lakebase for real-time #MachineLearning model deployment
Key Takeaways
Learn how to serve features online using Databricks Lakebase for real-time machine learning model deployment
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Disclaimer: These are my personal views, not those of Databricks. Continue reading on Medium »
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