Posts
All the articles I've posted.
- 28 MIN READ•Jul 6, 2026
The State of Apache Parquet in 2026: The Quiet Format Enters Its Loudest Decade
Apache Parquet in 2026 — variant types, geospatial, ALP encoding, footer redesign, the versioning debate, and how the decade-old format is renovating for AI workloads.
Apache Parquetdata engineeringlakehouse architecture - 29 MIN READ•Jul 6, 2026
The State of Apache Polaris in July 2026: From Incubating Catalog to the Governance Layer of the Open Lakehouse
Apache Polaris as a TLP — federation, credential vending, semantic layers, lineage, and how the open catalog became the governance plane of the multi-engine lakehouse.
Apache Polarisdata engineeringlakehouse architecture - 30 MIN READ•Jul 6, 2026
The State of Streaming to Apache Iceberg in July 2026: Every Path, Its Latency, and What to Do When Seconds Are Not Fast Enough
Every path for streaming data into Iceberg in 2026 — Flink, Spark, Kafka Connect, broker-native, managed pipelines — with honest latency numbers and sub-second hybrid architectures.
Apache Icebergstreamingdata engineering - 16 MIN READ•Jul 6, 2026
High-Performance Columnar Transfers: Combining Apache Arrow Flight and Iceberg REST Catalogs
Modern lakehouse architecture is easier to reason about when you separate two questions. The first question is how a system discovers and governs a...
arrow flighticeberg rest catalogcolumnar transfers - 29 MIN READ•Jul 6, 2026
Block vs. Object Storage: A Deep Dive Into the Foundation of Modern Data, and How the Lakehouse Made the Slow Option Fast
Here is one of the strangest and most consequential plot twists in the history of data infrastructure: over the past decade, the analytics industry...
data lakehousestoragearchitecture - 16 MIN READ•Jul 6, 2026
The Buyer's Scorecard for Agentic Analytics: Evaluating Tooling in the Enterprise AI Era
Agentic analytics demos are easy to enjoy and hard to evaluate. A user asks a question, an assistant answers, a chart appears, and the room leans f...
agentic analyticsenterprise aievaluation - 15 MIN READ•Jul 6, 2026
Building Closed-Loop Decision Agents: Moving from Passive BI Dashboards to Active Goal-Directed Workflows
Dashboards are excellent at showing people what happened. They are less good at deciding what should happen next. That gap is where closed-loop de...
ai agentsdecision agentsworkflows - 18 MIN READ•Jul 6, 2026
Conversational AI on Managed Iceberg: Exposing Amazon S3 Tables through MCP
The most interesting part of conversational analytics is not the chat box. The chat box is just the surface area. The harder question is what happe...
conversational aiamazon s3 tablesmcp - 15 MIN READ•Jul 6, 2026
Decoupled Catalogs vs. Managed Tables: Architectural Freedom in the Age of Table Format Convergence
Open table formats have changed buyer expectations. A few years ago, the question was whether an organization should put more analytical data into...
catalogstable formatsarchitecture - 26 MIN READ•Jul 6, 2026
Designing Your Own AI Harness: A Deep Dive Into the Architecture of Agent Loops, Tools, Context, and Control
A deep dive into custom AI harness architecture: model layers, tool design, context management, permissions, control budgets, persistence, orchestration, and evaluation systems.
AI agentsagent architectureMCP - 26 MIN READ•Jul 6, 2026
Deterministic Data Engineering With AI Harnesses: Using Claude Code, Codex, Antigravity, and OpenCode for Data Work You Can Actually Trust
How to use AI agent harnesses for data engineering without losing determinism, reproducibility, and trust in your data pipelines and analytics.
data engineeringAI agentsClaude Code - 17 MIN READ•Jul 6, 2026
Preparing Your Data Lakehouse for the EU AI Act: Auditable Lineage and Data Provenance
The EU AI Act changes the conversation around AI architecture because it makes trust operational. It is not enough to say that an AI system is usef...
eu ai actcompliancedata lakehouse