Solution
data-ops
3 articles on data-ops.
Monte Carlo vs Soda vs Great Expectations
An honest 2026 read on the data observability stack: Monte Carlo, Soda, Great Expectations, Elementary, and when DIY still beats them all.
Insurance Claims Classification with LLMs
Triaging insurance claims across 61 labels needs more than a model — it needs frozen eval sets, per-label thresholds, and a lakehouse built for documents.
Watermark Bugs in Fabric Incremental Loads
A watermark incremental load in Microsoft Fabric silently duplicated 3 months of Gold-layer data. The fix: idempotent MERGE plus a row-count assertion.