Conversational AI on Managed Iceberg: Exposing Amazon S3 Tables through MCP
The most interesting part of conversational analytics is not the chat box. The chat box is just the surface area. The harder question is what happe...
The archive
652 posts on Apache Iceberg, lakehouse architecture, data engineering and applied AI.
The most interesting part of conversational analytics is not the chat box. The chat box is just the surface area. The harder question is what happe...
Open table formats have changed buyer expectations. A few years ago, the question was whether an organization should put more analytical data into...
A deep dive into custom AI harness architecture: model layers, tool design, context management, permissions, control budgets, persistence, orchestration.
How to use AI agent harnesses for data engineering without losing determinism, reproducibility, and trust in your data pipelines and analytics.
The EU AI Act changes the conversation around AI architecture because it makes trust operational. It is not enough to say that an AI system is usef...
Every data strategy document written this decade contains some version of the same sentence: we need a single place to access all our data. The sen...
Somewhere in your data platform right now, a single configuration property is quietly deciding a meaningful percentage of your storage bill, your q...
For a decade, the file format layer was the most settled real estate in data. Apache Parquet held the analytical world, ORC held the Hive legacy es...
AI agents change the security model for analytics. A human user may run a handful of queries, pause, interpret the answer, and ask a follow-up. An...
Event data has a way of humbling neat architecture diagrams. It arrives late. It arrives twice. It arrives with incorrect attributes. It needs priv...