Index of Figures and Tables

Definition

This index is generated from the manuscript. Figures, tables, and listings are numbered sequentially across the whole document, independent of chapter number. Executive Summary items carry an ES- prefix; appendix listings carry a C- prefix.

Figures #

#	Caption	Chapter
Figure S-1	The idea in five steps	Start Here — The Simple Version
Figure ES-1	Data Swimming Pool — high-level architecture	1. Executive Summary
Figure 1	The enterprise data value gap	3. Introduction
Figure 2	Reservoir versus circulating medium	3. Introduction
Figure 3	Intellectual foundations of the Data Swimming Pool framework	4. Background
Figure 4	The correlation tax cycle	5. Current Challenges in Enterprise Data
Figure 5	Six decades of enterprise data architecture	6. Evolution of Enterprise Data Architecture
Figure 6	Capability accretion versus the surviving constraint	6. Evolution of Enterprise Data Architecture
Figure 7	The four structural deficits and their operational consequences	7. Why Another Architecture?
Figure 8	The Data Swimming Pool conceptual model	8. Introducing Data Swimming Pool
Figure 9	The ten core design principles, grouped into five thematic clusters	9. Core Design Principles
Figure 10	Data Swimming Pool layered reference architecture	10. System Architecture
Figure 11	Component interaction topology, separating the continuous write path from the on-demand read path	10. System Architecture
Figure 12	Reference deployment topology	10. System Architecture
Figure 13	Streaming layer architecture	11. Streaming Layer
Figure 14	Event-time processing with watermarks, allowed lateness, and correlation revision	11. Streaming Layer
Figure 15	Batch layer architecture	12. Batch Layer
Figure 16	The reconciliation protocol	12. Batch Layer
Figure 17	Data ingestion workflow	13. Data Ingestion Layer
Figure 18	Quarantine and remediation flow	13. Data Ingestion Layer
Figure 19	Correlation Engine internal architecture	14. Correlation Engine
Figure 20	Confidence scoring pipeline, illustrated for a single correlation	14. Correlation Engine
Figure 21	Correlation lifecycle state machine	14. Correlation Engine
Figure 22	Rules engine architecture	15. Rules Engine
Figure 23	AI Insight Engine architecture	16. AI Insight Engine
Figure 24	Correlation-grounded retrieval sequence	16. AI Insight Engine
Figure 25	Enterprise knowledge graph schema fragment	17. Knowledge Graph Layer
Figure 26	The metadata plane	18. Metadata and Data Lineage
Figure 27	End-to-end lineage for a single derived insight, illustrative	18. Metadata and Data Lineage
Figure 28	Canonical event lifecycle	19. Event Relationships
Figure 29	Event relationship taxonomy	19. Event Relationships
Figure 30	The Autonomy Ladder	20. Autonomous Decision Support
Figure 31	Autonomy assignment by reversibility and confidence	20. Autonomous Decision Support
Figure 32	Autonomy Controller decision flow for a proposed L4 action	20. Autonomous Decision Support
Figure 33	Alert generation and suppression pipeline	21. Alert Generation
Figure 34	Enterprise integration architecture	22. Enterprise Integration
Figure 35	Zero-trust security architecture	23. Security Architecture
Figure 36	Privacy-by-design data flow with purpose binding	24. Privacy
Figure 37	Federated governance operating model	25. Governance
Figure 38	Four-level partitioning strategy	26. Scalability
Figure 39	Multi-region high-availability topology	27. High Availability
Figure 40	Illustrative latency budget for the hot correlation path	28. Performance Considerations
Figure 41	Banking correlation architecture (illustrative)	29. Banking Use Case
Figure 42	Banking event sequence (illustrative)	29. Banking Use Case
Figure 43	Healthcare correlation architecture (illustrative)	30. Healthcare Use Case
Figure 44	Healthcare deterioration correlation workflow (illustrative)	30. Healthcare Use Case
Figure 45	Manufacturing predictive quality and maintenance workflow (illustrative)	31. Manufacturing Use Case
Figure 46	Retail unified commerce correlation workflow (illustrative)	32. Retail Use Case
Figure 47	Smart city multi-agency correlation workflow (illustrative)	33. Smart Cities Use Case
Figure 48	Cybersecurity cross-telemetry threat correlation workflow (illustrative)	34. Cybersecurity Use Case
Figure 49	Government inter-agency service correlation workflow (illustrative)	35. Government Use Case
Figure 50	Telecommunications network and experience correlation workflow (illustrative)	36. Telecommunications Use Case
Figure 51	Insurance correlation pattern (illustrative)	36A. Insurance, Logistics, Energy and Aviation
Figure 52	Energy correlation pattern (illustrative)	36A. Insurance, Logistics, Energy and Aviation
Figure 53	Capability profile comparison	37. Comparison with Existing Technologies
Figure 54	Benefit taxonomy across five categories	38. Benefits
Figure 55	Illustrative benefit realization curve	38. Benefits
Figure 56	Limitations positioned by tractability and severity	39. Challenges and Limitations
Figure 57	Research agenda across four horizons	40. Future Roadmap
Figure 58	Phased adoption with explicit exit gates	40. Future Roadmap
Figure 59	Separation of adopted foundations from proposed contributions	41. Conclusion
Figure 60	Reference deployment topology	Appendix B — Reference Implementation Blueprint
Figure 61	Correlation maturity model	Appendix D — Adoption Maturity Assessment

Tables #

#	Caption	Chapter
Table 1	Capability comparison across enterprise data architecture paradigms	1. Executive Summary
Table 2	Data Swimming Pool’s Correlation Engine relative to classical complex event processing	4. Background
Table 3	Symptoms and structural causes of enterprise data underperformance	5. Current Challenges in Enterprise Data
Table 4	Windows of actionability versus typical detection latency	5. Current Challenges in Enterprise Data
Table 5	Generational comparison of enterprise data architectures	6. Evolution of Enterprise Data Architecture
Table 6	Tests applied to justify a new architectural paradigm	7. Why Another Architecture?
Table 7	Assessment of extending existing paradigms	7. Why Another Architecture?
Table 8	Technical preconditions for industrialized correlation	7. Why Another Architecture?
Table 9	The swimming pool metaphor mapped to architectural commitments	8. Introducing Data Swimming Pool
Table 10	Data Lake versus Data Swimming Pool	8. Introducing Data Swimming Pool
Table 11	The ten core design principles with their architectural realizations and violation consequences	9. Core Design Principles
Table 12	Layer responsibilities, prohibitions, and candidate technologies	10. System Architecture
Table 13	Delivery semantics and their correlation implications	11. Streaming Layer
Table 14	Correlation state categories	11. Streaming Layer
Table 15	Streaming layer technology selection matrix	11. Streaming Layer
Table 16	Batch workload classes	12. Batch Layer
Table 17	Open table format properties and their correlation applications	12. Batch Layer
Table 18	Cost and suitability by correlation characteristic	12. Batch Layer
Table 19	Ingestion patterns by source type	13. Data Ingestion Layer
Table 20	Classification tags applied at ingestion	13. Data Ingestion Layer
Table 21	Ingestion observability metrics	13. Data Ingestion Layer
Table 22	Correlation modalities compared	14. Correlation Engine
Table 23	Correlation scope declaration elements	14. Correlation Engine
Table 24	Correlation Engine failure modes	14. Correlation Engine
Table 25	Correlation Engine relative to classical CEP	14. Correlation Engine
Table 26	Rule classes, override permissions, and typical execution tiers	15. Rules Engine
Table 27	Rules engine observability	15. Rules Engine
Table 28	AI model portfolio	16. AI Insight Engine
Table 29	Required constraints on AI agents	16. AI Insight Engine
Table 30	Insight Object essential fields	16. AI Insight Engine
Table 31	Graph-native analytics and their correlation applications	17. Knowledge Graph Layer
Table 32	Edge lifecycle mechanisms	17. Knowledge Graph Layer
Table 33	Graph technology selection considerations	17. Knowledge Graph Layer
Table 34	Catalog graph versus living knowledge graph	17. Knowledge Graph Layer
Table 35	Metadata classes maintained by the plane	18. Metadata and Data Lineage
Table 36	Five levels of lineage depth	18. Metadata and Data Lineage
Table 37	Active metadata behaviours	18. Metadata and Data Lineage
Table 38	Relationship types with detection modalities and confidence ceilings	19. Event Relationships
Table 39	Relationship composition structures	19. Event Relationships
Table 40	Autonomy Ladder level specifications	20. Autonomous Decision Support
Table 41	Autonomy failure controls	20. Autonomous Decision Support
Table 42	Alert clustering mechanisms	21. Alert Generation
Table 43	Alert quality metrics	21. Alert Generation
Table 44	Relationship to existing platform investments	22. Enterprise Integration
Table 45	Agent tool surface	22. Enterprise Integration
Table 46	Security controls mapped to architectural layers	23. Security Architecture
Table 47	Insider risk controls	23. Security Architecture
Table 48	Privacy techniques and their applicability	24. Privacy
Table 49	Data subject rights and framework capability	24. Privacy
Table 50	Correlation scope lifecycle	25. Governance
Table 51	Governance questions applied to correlation types	25. Governance
Table 52	Regulatory alignment at a conceptual level	25. Governance
Table 53	Scaling dimensions and strategies	26. Scalability
Table 54	Elasticity by component	26. Scalability
Table 55	Estimated practical scale boundaries	26. Scalability
Table 56	Four availability types	27. High Availability
Table 57	Availability tiers with recovery objectives	27. High Availability
Table 58	Failure scenarios and their correlation integrity impact	27. High Availability
Table 59	Operational availability practices	27. High Availability
Table 60	Proposed service level objectives by path	28. Performance Considerations
Table 61	Throughput characteristics	28. Performance Considerations
Table 62	Banking correlation scopes (illustrative)	29. Banking Use Case
Table 63	Banking capability comparison (illustrative)	29. Banking Use Case
Table 64	Illustrative outcome directions	29. Banking Use Case
Table 65	Healthcare correlation scopes (illustrative)	30. Healthcare Use Case
Table 66	Illustrative outcome directions for manufacturing	31. Manufacturing Use Case
Table 67	Illustrative outcome directions for retail	32. Retail Use Case
Table 68	Illustrative outcome directions for smart cities	33. Smart Cities Use Case
Table 69	Cybersecurity correlation scopes (illustrative)	34. Cybersecurity Use Case
Table 70	Illustrative outcome directions for cybersecurity	34. Cybersecurity Use Case
Table 71	Autonomy constraints for government decision types	35. Government Use Case
Table 72	Illustrative outcome directions for telecommunications	36. Telecommunications Use Case
Table 73	Logistics correlation scopes (illustrative)	36A. Insurance, Logistics, Energy and Aviation
Table 74	Aviation correlation scopes (illustrative)	36A. Insurance, Logistics, Energy and Aviation
Table 75	Cross-sector correlation pattern synthesis	36A. Insurance, Logistics, Energy and Aviation
Table 76	Master architectural comparison matrix	37. Comparison with Existing Technologies
Table 77	Detailed feature matrix	37. Comparison with Existing Technologies
Table 78	Total cost of ownership considerations	37. Comparison with Existing Technologies
Table 79	Selection guidance	37. Comparison with Existing Technologies
Table 80	Fifteen claimed benefits with mechanisms and falsification conditions	38. Benefits
Table 81	Benefit measurement approaches	38. Benefits
Table 82	Twelve tractable challenges with mitigations and residual risk	39. Challenges and Limitations
Table 83	Architecture-specific failure modes	39. Challenges and Limitations
Table 84	Priority open problems	40. Future Roadmap
Table 85	Adoption phases with objectives, deliverables, and gates	40. Future Roadmap
Table 86	Adoption anti-patterns	40. Future Roadmap
Table 87	External developments that would materially improve the framework’s viability	40. Future Roadmap
Table 88	Component selection by layer	Appendix B — Reference Implementation Blueprint
Table 89	Indicative sizing profiles	Appendix B — Reference Implementation Blueprint
Table 90	Indicative build sequence in two-week sprints	Appendix B — Reference Implementation Blueprint
Table 91	Minimum viable correlation platform	Appendix B — Reference Implementation Blueprint
Table 92	Correlation type reference with confidence ceilings and default lifetimes	Appendix C — Canonical Event and Correlation Schemas
Table 93	Assessment instrument across six dimensions	Appendix D — Adoption Maturity Assessment
Table 94	Score interpretation	Appendix D — Adoption Maturity Assessment
Table 95	Common assessment profiles	Appendix D — Adoption Maturity Assessment

Listings #

#	Caption	Chapter
Listing C-1	Canonical event schema	Appendix C — Canonical Event and Correlation Schemas
Listing C-2	Correlation schema	Appendix C — Canonical Event and Correlation Schemas
Listing C-3	Insight Object schema	Appendix C — Canonical Event and Correlation Schemas
Listing C-4	Correlation scope declaration	Appendix C — Canonical Event and Correlation Schemas

Totals: 63 figures · 95 tables · 4 schema listings.

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