Data engineering · science · architecture

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Working notes for people who move data for a living. Pipelines, lakehouses, table formats, and the architecture underneath them.

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  1. 01Turning an Analytics Question Into a Verified Agentic GraphA complete AGS 1.0 graph for governed metric questions, with verification gates, deterministic check scripts, and reconciliation against a semantic layer.2026-09-28
  2. 02Keeping Audit Snapshots Alive While Iceberg Snapshot Expiration Runs Every NightHow Iceberg snapshot tags keep audit snapshots alive through nightly expiration: retention calendars, RETAIN semantics, compaction cost, and erasure conflicts.2026-09-28
  3. 03Twelve Queries That Pass Every Schema Check and Still Return the Wrong NumberTwelve query patterns that pass schema validation and still return wrong numbers, with detectors, required metadata, and tested code for each.2026-09-28
  4. 04Why the Iceberg DataFusion Integration Is Moving to Apache DataFusionWhy the Iceberg DataFusion integration moved to the DataFusion project, and what the split means for users, Comet, and iceberg-rust contributors.2026-09-21
  5. 05What Iceberg v4's Proposed FILE Type Means for Multimodal TablesIceberg v4's proposed FILE type brings first-class media references to tables, via Parquet's FILE logical type, ranges, checksums, and pre-signed URLs.2026-09-21
  6. 06Fast Classification Models, LLMs, and the Apache Iceberg LakehouseHow fast classification models like Jev alongside open alternatives such as GLiClass compare with LLMs, and how to run both together inside an Apache Iceberg lakehouse.2026-09-21
  7. 07How Apache Ossie Is Deciding What Agents and BI Tools Can Ask a Semantic LayerHow Apache Ossie's layered query design gives AI agents both a constrained dimensional interface and a grain-safe SQL interface for semantic layers.2026-09-21
  8. 08CVE-2026-73334 and the Trust Boundary Inside an Encrypted Parquet FileCVE-2026-73334 lets a tampered Parquet footer route a reader's KMS token to an attacker. Here's the fix, Iceberg's safe path, and how to audit your lakehouse.2026-09-21

Reference shelf

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Open Source and the Data Lakehouse

How the Apache Software Foundation's open-source projects — Iceberg, Arrow, Parquet, Polaris — form the modular foundation of the modern open data lakehouse.

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ReadData Lakehouse

Definitive Guide to the Data Lakehouse

The complete, authoritative guide to the Data Lakehouse architecture — what it is, why it supersedes the data warehouse + data lake combination, and how to build one.

ReadAI & Performance

How Dremio Keeps Agentic Analytics Fast Without Manual Tuning

How Dremio's layered autonomous performance architecture — Reflections, caching, vectorized execution — handles unpredictable AI agent query patterns at interactive speed.

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