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Classroom Contents
Netflix Maestro: Orchestrating Scaled Data and ML Workflows in the Cloud
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- 1 Introduction
- 2 Welcome
- 3 Landscape of Netflix
- 4 What is Maestro
- 5 Features
- 6 Why build our own solution
- 7 Scalability
- 8 User cases
- 9 Pipelines
- 10 Architecture
- 11 Akash
- 12 Critical Considerations
- 13 Interfaces
- 14 Integrations
- 15 Mastro DSL
- 16 Backfill workflow
- 17 Execution abstractions
- 18 Maestro execution
