It's Just Data
summary
Asserts Datomic makes schema is data and treats entities as identities whose attributes accrete over time, eliminating SQL’s required-field/null mismatch and letting systems store partial facts (example: accept a person without SSN). Describes building a medication-reconciliation app for the VA that uses Datomic facts and metrics to flag at-risk patients and finds VA med lists are 100% incorrect in a studied sample, implying ~3,500 veterans at risk. Describes an application stack built on Arachne runtime and Chimera and an Apex Unify / ForeverDB architecture.
AI-written summary · about
chapters (18)
- 0:00Introduction
- 0:10Title
- 0:32Outline
- 2:44Its Just Data
- 3:08Data
- 6:34Plan Diagram
- 7:42Schema of causality
- 8:43Abuse of history for life
- 9:22Good uses of data
- 12:01Data abuses
- 13:00The problem in a nutshell
- 14:01Required fields
- 18:14A better way
- 24:27Arachne
- 26:31Schema as Data
- 27:04Schema as Code
- 30:55Pilots Dilemma
- 34:02Conclusion
related talks
46mThe Datomic Architecture and Data Model
42mYet & Datomic Immutable Facts Mutated Our Stack
40mBuilding a Data Platform with Datomic
40mThe power of Datomic database
51mDatomic
37m11 insights after 11 years with the functional database Datomic
40mDatomic: The Most Innovative DB You've Never Heard Of
33m¿Where's My Data?
