Posts - Page 15
All the articles I've posted, page 15.
- 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.
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 - 28 MIN READ•Jul 6, 2026
Federation and the Lakehouse: Two Roads to Unified Data Access, and How to Know Which One to Take
Every data strategy document written this decade contains some version of the same sentence: we need a single place to access all our data. The sen...
data federationdata lakehouseunified access - 27 MIN READ•Jul 6, 2026
A Deep Dive Into File Compression: How Data Gets Smaller, Why Codecs Differ, and What to Actually Use in the Lakehouse
Somewhere in your data platform right now, a single configuration property is quietly deciding a meaningful percentage of your storage bill, your q...
file compressioncodecsparquet - 27 MIN READ•Jul 6, 2026
The File Format Renaissance: Parquet, Lance, Vortex, Nimble, BtrBlocks, and the New Physics of Columnar Storage
For a decade, the file format layer was the most settled real estate in data. Apache Parquet held the analytical world, ORC held the Hive legacy es...
parquetlancevortex - 15 MIN READ•Jul 6, 2026
Enforcing Fine-Grained Security at Machine Speed: Dynamic Access Control for High-Frequency AI Agents
AI agents change the security model for analytics. A human user may run a handful of queries, pause, interpret the answer, and ask a follow-up. An...
fine-grained securityai agentsaccess control - 16 MIN READ•Jul 6, 2026
Implementing Positional Deletes in Iceberg v3: Streamlining Merge-on-Read for Fast-Inbound Event Lakes
Event data has a way of humbling neat architecture diagrams. It arrives late. It arrives twice. It arrives with incorrect attributes. It needs priv...
iceberg v3positional deletesevent lakes