From the 1 of 3 linked papers with an AI index.
3 papers
cs.DB2026
Not Your Usual Type(s): Data contracts as types across languages and engines
Aldrin Montana, Colin Marc, Luca Bigon +1
The paper presents an SDK that treats data contracts as typed schemas, enabling consistent validation, documentation, and lineage across multiple programming languages and data eng…
cs.DB2026
GitLake: Git-for-data for the agentic lakehouse
Weiming Sheng, Jinlang Wang, Manuel Barros +3
We present GitLake, a Git-for-data design for an agent-first lakehouse. The system lifts single-table Iceberg snapshots into lakehouse-wide commits, branches, and merges, letting a…
cs.DC2026
Building a Correct-by-Design Lakehouse. Data Contracts, Versioning, and Transactional Pipelines for Humans and Agents
Weiming Sheng, Jinlang Wang, Manuel Barros +3
Lakehouses are now the default substrate for analytics and AI, but they remain fragile under concurrent, untrusted change: schema mismatches often surface only at runtime, developm…