Data Warehousing in the Age of Artificial Intelligence
by Eric Boutin, Mike Boyarski, Conor Doherty, Gary Orenstein
Data Warehousing in the Age of Artificial Intelligence
- 1. The Role of a Modern Data Warehouse in the Age of AI
- 2. Framing Data Processing with ML and AI
- 3. The Data Warehouse Has Changed
- 4. The Path to the Cloud
- 5. Historical Data
- 6. Building Real-Time Data Pipelines
- 7. Combining Real Time with Machine Learning
- 8. Building the Ideal Stack for Machine Learning
- 9. Strategies for Ubiquitous Deployment
- 10. Real-Time Machine Learning Use Cases
- 11. The Future of Data Processing for Artificial Intelligence
Data Warehousing in the Age of Artificial Intelligence
Gary Orenstein, Conor Doherty, Mike Boyarski, and Eric Boutin
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