Posts - Page 15
All the articles I've posted, page 15.
- 21 MIN READ•Aug 4, 2026
Building Apache Iceberg Lakehouses That Run Without an Internet Connection
How to build an Apache Iceberg lakehouse that runs fully offline: storage, catalog, compute, cross-zone transfer, compliance, and the failure modes that bite.
Apache IcebergAir-GappedOn-Premises - 21 MIN READ•Aug 4, 2026
Wiring Analytical Queries to Transactional APIs in Closed-Loop Decision Agents
How decision agents can act on analytical reads through transactional APIs safely: conditional writes, sagas with compensations, decision records, blast limits.
AI AgentsDecision LoopsSaga Pattern - 21 MIN READ•Aug 4, 2026
Surviving Optimistic Commit Collisions When Hundreds of Agents Write to Iceberg
Which Iceberg commit conflicts are real when hundreds of agents write, plus commit buffers, partitioning, catalog support, benchmarks, and a checklist.
Apache IcebergConcurrencyOptimistic Concurrency - 21 MIN READ•Aug 4, 2026
How Iceberg V3 Deletion Vectors Fixed Merge-on-Read for Streaming Tables
How Iceberg V3 deletion vectors replaced accumulating positional delete files and made merge-on-read viable for streaming and CDC tables.
Apache IcebergIceberg V3Deletion Vectors - 21 MIN READ•Aug 4, 2026
How Iceberg V3 Variant Shredding Changed Semi-Structured Data on S3 Tables
How Iceberg V3's Variant type and Parquet shredding turn JSON columns into prunable typed columns, with real benchmark tradeoffs and a migration path.
Apache IcebergIceberg V3Variant - 21 MIN READ•Aug 4, 2026
Reading the Apache Iceberg V4 Proposals Before They Land
A field guide to the Apache Iceberg V4 proposals: adaptive metadata trees, single-file commits, typed statistics, column families, and what is safe.
Apache IcebergIceberg V4Metadata - 21 MIN READ•Aug 4, 2026
Building an Honest TCO Model for Open Lakehouses and Proprietary Warehouses
An honest TCO framework for open lakehouses versus proprietary warehouses: five cost categories, measured numbers, sensitivity analysis, and where each.
TCOData LakehouseData Warehouse - 21 MIN READ•Aug 4, 2026
Why Agentic AI Needs a Governed Semantic Layer Behind the Model Context Protocol
Why agentic AI needs a governed semantic layer behind the Model Context Protocol: metric consistency, access control, Apache Ossie for portable.
AI AgentsMCPSemantic Layer - 21 MIN READ•Aug 4, 2026
Moving From Supply Chain Dashboards to Decision Loops With the Model Context Protocol
Moving from supply chain dashboards to decision loops with MCP: sense, decide, act, and verify, with typed action tools, idempotency keys, and graduated.
AI AgentsMCPSupply Chain - 21 MIN READ•Aug 4, 2026
Metric Contracts as the Interface AI Agents Actually Need
Metric contracts as the interface AI agents need: calculation, inclusion rules, grain, temporal semantics, ownership, semantic versioning, and testing.
AI AgentsMetric ContractsSemantic Layer - 21 MIN READ•Aug 4, 2026
Cross-Cloud Credential Vending in Apache Polaris and the End of Permanent Storage Keys
How Apache Polaris vends short-lived, prefix-scoped storage credentials across AWS, Azure, and GCP, and how to retire permanent storage keys for good.
Apache PolarisCredential VendingSecurity - 21 MIN READ•Aug 4, 2026
Designing Policy-Aware Telemetry Tables for AI Systems in Apache Iceberg
Designing policy-aware AI telemetry tables in Apache Iceberg: what to log, tamper evidence, retention against conflicting deletion requirements.
Apache IcebergAI TelemetryEU AI Act