
Developer Voices The $500 Billion Integration Problem, And One Possible Solution (with Marty Pitt)
8 snips
Jul 4, 2025 Marty Pitt, a seasoned software developer with a wealth of experience in banking data integration, reveals his groundbreaking creation, TaxiQL. This innovative semantic layer allows users to query data across disparate systems without getting bogged down by technicalities. Marty discusses the monumental challenges of data integration, the importance of clear semantic frameworks, and the ways TaxiQL can help minimize the burdens on developers. He dives into the future of AI in system integration and how it can enhance processes through greater contextual understanding.
AI Snips
Chapters
Transcript
Episode notes
Add Semantic Metadata to APIs
- Annotate existing API specs (OpenAPI, Avro, Protobuf) with semantic metadata from the taxonomy.
- Keep using familiar API tools and add semantic tags to fields without changing underlying technologies.
Extend Open Standards, Don't Replace
- Adopt open standards like OpenAPI and extend them with custom semantic metadata for flexibility.
- This allows teams to keep their existing stack while enabling machine-readable semantic integration.
Semantic Query as Graph Traversal
- The TaxiQL query engine routes semantic queries by traversing a graph of APIs and data sources.
- Consumers declare data contracts without knowing where data resides; the engine integrates and delivers it.
