Developer Voices The $500 Billion Integration Problem, And One Possible Solution (with Marty Pitt)
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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.
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Why Integration is Difficult
- Systems integration is difficult because each system's design decisions make sense alone but create translation problems when combined.
- Non-technical differences, like user ID mismatches, add complexity to integration efforts.
Spreadsheet Sparks TaxiQL Idea
- Marty saw clients spending months curating massive mapping spreadsheets for data integration before handing them to developers.
- These spreadsheets became the foundation for the idea of embedding semantic metadata directly into API specs.
Integrate Bespoke Systems Semantically
- Third-party API integration tools work well, but bespoke internal microservices need custom semantic tagging.
- Avoid brittle glue code by embedding semantic meanings, not just field names, into data contracts.