Posts
All the articles I've posted.
- 26 MIN READ•Jul 6, 2026
Operational vs. Analytical Systems: Why the Oldest Divide in Data Exists, What Physics Enforces It, and the Honest Truth About Hybrid Systems
Every data architecture ever drawn contains the same fault line, so old and so universal that most engineers stop seeing it: on one side, the syste...
oltpolaphtap - 30 MIN READ•Jul 6, 2026
Personal Context vs. Shared Context: A Deep Dive Into How Humans and Organizations Should Feed Their AI Agents
The most important discovery of the agent era fits in one sentence: most AI failures are context failures, not model failures. When your assistant...
personal contextshared contextai agents - 15 MIN READ•Jul 6, 2026
Designing Private, Air-Gapped Data Lakehouses: Scaling Iceberg in Highly Secure, On-Premises Clouds
Some of the most important lakehouse work happens in environments that will never look like a simple public-cloud reference architecture. Defense...
air-gappeddata lakehouseiceberg - 15 MIN READ•Jul 6, 2026
Migrating Proprietary Warehouses to Open Lakehouses: The 2026 Playbook for Zero-Copy Metadata Translation
Every warehouse migration sounds simpler before the first inventory. Then the team discovers old dashboards, hidden dependencies, undocumented stor...
migrationlakehousemetadata translation - 28 MIN READ•Jul 6, 2026
Lakehouse Table Formats in 2026: Iceberg, Delta Lake, Hudi, Paimon, and DuckLake, How They Work, Where They Stand, and Where They're Going
The table format war is over, and the table formats are not. Both halves of that sentence are true, both matter, and the tension between them is ex...
table formatsicebergdelta lake - 15 MIN READ•Jul 6, 2026
Trustworthy Concurrency in the Agentic Lakehouse: Reconciling Academic Proofs with High-Frequency Production Writes
Agentic lakehouses change the concurrency conversation. Traditional data pipelines already deal with overlapping jobs, retries, compaction, merges...
concurrencyagentic lakehouseproduction writes - 30 MIN READ•Jul 6, 2026
When Gatekeepers Panic: The Encyclopédie, Open AI Models, and the Politics of Accessible Knowledge
The fight over open AI models mirrors the 18th-century suppression of Diderot's Encyclopédie, revealing the same pattern of institutional fear of accessible knowledge.
open source AIAI regulationopen weights - 30 MIN READ•Jul 6, 2026
The Who, What, and Why of Semantic Layers: The Layer That Decides Whether Your Numbers Can Be Trusted
There is a survey statistic making the rounds this year that I cannot stop quoting: 84 percent of data teams report regularly encountering conflict...
semantic layersanalyticsdata governance - 14 MIN READ•Jun 22, 2026
AI-Ready Metadata Prevents Query Failures
AI-ready metadata reduces query failures by making ownership, freshness, lineage, quality, and policy visible at execution time.
lineage quality LLM query failuresmetadata for AI agentsgoverned analytics - 14 MIN READ•Jun 22, 2026
Autonomous Materialization for Agentic Analytics
Autonomous materialization is useful when it is tied to workload evidence, governance checks, and lifecycle management.
AI agents table performancereflectionsautomated acceleration - 15 MIN READ•Jun 22, 2026
Composable Semantic Layers for Analytical Agents
AI agents need more than metric names. They need composable business logic that survives multi-step analysis.
semantic layer agentsmetrics catalogsagentic analytics - 15 MIN READ•Jun 22, 2026
Built for Agents and Managed by Agents
Dremio Agentic Lakehouse is easiest to understand as two ideas: data built for agent access and platform work managed by agents.
built for agentsmanaged by agentsautonomous lakehouse