palantir-reference-architecture

# Palantir Reference Architecture ## Overview Production-ready architecture for Foundry-integrated applications. Covers the standard data pipeline pattern (ingest > clean > model > serve), Ontology design, external API integration, and multi-repo project layout. ## Prerequisites - Foundry enrollment with project access - Understanding of Ontology concepts (object types, link types, actions) - Familiarity with `palantir-core-workflow-a` (transforms) and `palantir-core-workflow-b` (Ontology) ## Instructions ### Step 1: Data Pipeline Architecture ``` ┌─────────────┐ ┌──────────────┐ ┌─────────────┐ ┌───────────┐ │ Raw Layer │────>│ Clean Layer │────>│ Model Layer │────>│ Ontology │ │ (ingested) │ │ (validated) │ │ (enriched) │ │ (objects) │ └─────────────┘ └──────────────┘ └─────────────┘ └───────────┘ ↑ Connectors @transform_df @transform_df Object types ↑ REST sync null checks joins, aggs Link types ↑ File upload type casting ML features Actions ``` ### Step 2: Project Layout (Foundry) ``` Foundry Project: "Customer Analytics" ├── Datasets/ │ ├── raw/ # Ingested from sources │ │ ├── raw_orders # REST connector → CRM │ │ ├── raw_customers # JDBC connector → DB │ │ └── raw_products # File upload (CSV/Parquet) │ ├── clean/ # Validated, typed │ │ ├── clean_orders # Nulls remove...