Query Routing at Machine Scale: Dynamic Workload Distribution Across Lakehouse Engines
Route each lakehouse query by shape, not by sender. Signals, rules, and how to keep dashboards, batch jobs, and agents from sharing one engine.
The archive
Writing, page 8
652 posts on Apache Iceberg, lakehouse architecture, data engineering and applied AI.
Semantic Layer Federation: One Logical Model Over Data on Three Clouds
One logical model over Iceberg and databases on three clouds. Pushdown, egress, Reflections, and where semantic federation still breaks.
Serverless Iceberg Ingestion with PyIceberg and DuckDB: Micro-Batches Without a Spark Cluster
Land small Iceberg micro-batches with PyIceberg and DuckDB in a serverless function. Commits, concurrency, and why Spark is the wrong default.
Zero-Copy Warehouse Modernization: Migrating Legacy Databases to Apache Iceberg Without Downtime
Move a legacy warehouse to Iceberg without downtime by virtualizing first. Consumer cutover, parity checks, and background copy without double-ETL.
The Agent Is Now a Named Coworker, and It Needs a File Format
Named, persistent agents need a file format. Open Agent Profile, Buzz, Grok Bot, and Hermes Bot Mode show why a portable agent identity matters.
Your Agent Should Answer the Phone: A Field Guide to AI Gateways on Slack, Discord, Telegram, Signal, and Teams
A field guide to AI gateways on Slack, Discord, Telegram, Signal, and Teams: architecture, auth, cost, and the failure modes that matter.
Graphs in AI Engineering Have Solved Three Problems. The Fourth Is the Plan.
Knowledge graphs, GraphRAG, and LangGraph solved three problems. The fourth is the work itself: a reviewable graph of bounded agentic loops.
The Hidden Cost of Tiny Iceberg Commits
Trace what one tiny Iceberg commit writes, then model hourly, per-minute, and per-second cadences so streaming costs become arithmetic, not adjectives.
Deletion Vectors vs Position Deletes vs Equality Deletes: The Iceberg Delete Story in 2026
Position deletes, equality deletes, and deletion vectors compared from the Iceberg spec: what each writes, how readers apply it, and when to use which.
Iceberg Is Becoming a Library, Not Just a Table Format
Iceberg is turning from a JVM table format into a library other systems embed. What that shift changes for engines, catalogs, and the spec itself.