Agents break the four assumptions analytics platforms were built on. A practical guide to identity, budgets, semantic layers, caching, and instrumentation for agent workloads.
A full survey of the AI model landscape in mid-2026: frontier families, open-weight labs, local inference, specialists, and how to build a routing layer instead of a dependency.
Data freshness needs to become an engineering contract with a measurable value, an owner, and consequences. How to decompose lag, make freshness queryable, and keep agents honest.
A survey of the Apache Iceberg market in July 2026: the state of the specification, platform support, the acquisition wave, the catalog contest, and how to evaluate real Iceberg support.
