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Classroom Contents
The 12 Factor App for Data - Principles for Designing Data-Centric Applications
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- 1 Intro
- 2 What & why?
- 3 Architecture & design
- 4 No. 1: Data structures as code
- 5 No. 2: Append-only data structures
- 6 No. 3: Optimize for access & retrieval
- 7 No. 4: Separate data from logic
- 8 No. 5: Strongly type your data fields
- 9 Quality & validation
- 10 No. 6: Architect for regression testability
- 11 No. 7: Track changes in your test data
- 12 Audit & explainability
- 13 No. 8: Mind your metadata: Data cataloguing
- 14 No. 9: Mind your metadata: Code traceability
- 15 Consumption
- 16 No. 10: Defined APIs for accessing data
- 17 No. 11: Defined SLAs & SLOs for data
- 18 No. 12: Treat data as a product
- 19 Summary
- 20 Outro
