Tag: AI Agents
All the articles with the tag "AI Agents".
- 31 MIN READ•Jul 28, 2026
Building Agent Telemetry Tables in Iceberg That Survive an Audit
A practical guide to building agent decision traces in Apache Iceberg that support audit reconstruction, governance review, and cost attribution across sessions.
Apache IcebergAI AgentsData Governance - 31 MIN READ•Jul 28, 2026
What Agentic Analytics Actually Costs, and How to Keep It Bounded
Agent analytics generates two cost streams that scale on different variables. Here's the arithmetic, the levers that actually move the number, and how to build attribution before you need it.
AI AgentsAnalyticsCost Optimization - 31 MIN READ•Jul 28, 2026
When the Query Optimizer Starts Managing Its Own Materializations
Autonomous materialized view management replaces quarterly review meetings with workload-driven scoring, and it's essential when AI agents generate unpredictable query patterns.
Apache IcebergQuery OptimizationAI Agents - 31 MIN READ•Jul 28, 2026
Why AI Agents Fail on Raw Data, and What to Give Them Instead
Agents fail on raw lake data because business rules live in people's heads. Data products with semantic contracts fix this at the source.
AI AgentsApache IcebergSemantic Layer - 31 MIN READ•Jul 28, 2026
The Five Layers Between Your Lakehouse and a Trustworthy Agent
Agent reliability is a property of the stack the model sits on. Five layers with distinct owners and failure modes turn the agent is unreliable into a specific diagnosis.
AI AgentsApache IcebergData Architecture - 31 MIN READ•Jul 28, 2026
Surviving Commit Conflicts When Dozens of Writers Hit the Same Iceberg Table
Commit conflicts multiply with writer count, and AI agents introduce unpredictable write patterns. Here's how to diagnose, tune, and architect around Iceberg's optimistic concurrency.
Apache IcebergConcurrencyData Engineering - 31 MIN READ•Jul 28, 2026
Wiring an AI Agent to Apache Polaris with the Model Context Protocol
The catalog is the right attachment point for AI agents working against a lakehouse. Here's how to wire the official Polaris MCP Server and add the read path it deliberately leaves out.
Apache IcebergMCPAI Agents - 31 MIN READ•Jul 25, 2026
Governing What Agents Cost You
Agents break the four assumptions analytics platforms were built on. A practical guide to identity, budgets, semantic layers, caching, and instrumentation for agent workloads.
AI agentscost governancedata platform - 20 MIN READ•Jul 13, 2026
Active Analytics Loops for AI Action Agents
An in-depth exploration of active analytics loops for ai action agents
AI AgentsAnalyticsData Engineering - 18 MIN READ•Jul 13, 2026
The Chase-Catch Gap in Enterprise AI Agents
An in-depth exploration of the chase-catch gap in enterprise ai agents
AI AgentsEnterpriseAgentic AI - 18 MIN READ•Jul 13, 2026
Data Lakehouse Open Standards for AI Agents
An in-depth exploration of data lakehouse open standards for ai agents
LakehouseOpen StandardsAI Agents - 18 MIN READ•Jul 13, 2026
Five-Layer Agentic Lakehouse Architecture
An in-depth exploration of five-layer agentic lakehouse architecture
Lakehouse ArchitectureAI AgentsEnterprise