Creating AI agent solutions for warehouse data access and security

This post details the development of an agentic system for data warehouse access, introducing data-user agents and data-owner agents to streamline data discovery, access requests, and security management. It describes how the data warehouse is represented as text-based resources for LLMs, and introduces context and intention management strategies. A deep dive into 'partial data preview' showcases the orchestration of user activities, user profiles, query shapes, data access budgets, and rule-based risk management to enable task-specific, context-aware data access.