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Schema Considerations

Posted: Tue Jun 17, 2025 10:39 am
by roseline371277
transactions_log Table: transaction_id, activity_id (FK), timestamp, actor_id, action_type (e.g., 'create', 'update', 'delete_attempt'), old_value (JSON), new_value (JSON), cryptographic_hash (for chain integrity).
Strict Versioning: Every change to an "activity" record generates a new version, never overwriting the old one.
Digital Signatures: Storing digital signatures alongside records to verify the authenticity special database of the action.
Special Activities Examples:

Financial Trading Records: An unalterable log of every trade, bid, and offer for regulatory reporting.
Electronic Health Records (EHR): Maintaining a verifiable history of patient diagnoses, treatments, and prescriptions.
Supply Chain Provenance: Tracking the origin and handling of goods to prevent counterfeiting or ensure ethical sourcing.
4. Highly Specialized Domain-Specific Databases
Finally, "special activities databases" can refer to systems built for niche domains with entirely unique data models or computational needs.

Graph Databases (for relationship-centric activities): Already discussed, but worth reiterating for activities defined by complex relationships (e.g., identifying criminal networks, gene interaction mapping).
Vector Databases (for similarity-based activities): Essential for AI-driven activities like semantic search, content recommendation based on similarity, or facial recognition.
Geospatial Databases (for location-based activities): Crucial for activities where spatial relationships are primary (e.g., urban planning, logistics optimization, disaster response).
Knowledge Graphs: Representing complex, interconnected facts and rules to support reasoning and inferencing for AI agents or expert systems.