Trustworthy AI in the Agentic Lakehouse: Reconciling Concurrency and Isolation Contracts
A single AI agent querying your lakehouse is manageable. A hundred AI agents : running automated monitoring, answering stakeholder…
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593 posts on Apache Iceberg, lakehouse architecture, data engineering and applied AI.
A single AI agent querying your lakehouse is manageable. A hundred AI agents : running automated monitoring, answering stakeholder…
Three years ago, "multi-cloud strategy" for data meant maintaining separate warehouses on AWS, Azure, and GCP, then running ETL to sync…
When organizations first try connecting an LLM to their data lakehouse, the experience follows a predictable pattern: early demos work…
ETL pipelines were the right answer in 2010. You pulled data from operational systems nightly, transformed it, and loaded it into the…
Most AI agent frameworks lock you into a paid model. Claude Code needs an Anthropic subscription. Codex needs an OpenAI plan. Cursor costs…
This is Part 10 of a 10-part series on query engine design. Part 9 covered distributed joins. This final article covers how engines handle…
This is Part 9 of a 10-part series on query engine design. Part 8 covered partitioning. This article covers the most expensive operation in…
This is Part 8 of a 10-part series on query engine design. Part 7 covered memory management. This article covers how engines divide data…
This is Part 7 of a 10-part series on query engine design. Part 6 covered execution models. This article covers how engines manage their…
This is Part 6 of a 10-part series on query engine design. Part 5 covered how optimizers pick a plan. This article covers what happens…
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