Source-backed technical articles addressing computational reconciliation architecture, bounded memory accounting, mathematical auditability, and enterprise pipeline integration.
Why standard in-memory diff tools suffer $O(N^2 \log N)$ quadratic lockups on unkeyed datasets, and how fixed-point decimal canonical types prevent rounding corruption in multi-million record reconciliations.
A completed ETL job is not proof of correct data. Why ephemeral, read-only CLI verifiers with deterministic exit codes integrate into Airflow and Kubernetes pipelines with zero persistent infrastructure overhead.
Raw diff dumps tell you that records differ, but fail to explain why. An inside look at Rift’s PGDS algorithm: discovering candidate invariant rules and verifying them via authoritative witness caching.