Compares Microsoft 365 E3 vs E5 licenses, covering pricing, security, compliance, and mixed licensing strategies for enterprises.
EF Core 11 improves split query performance by pruning unnecessary JOINs from collection queries.
Explores limitations of safety checks in AI agents, focusing on contextual harm that passes all structural gates.
Explores security and safety checks for AI agents beyond capability, focusing on contextual integrity, policy, and authority.
Overview of new SwiftUI features announced at WWDC26, including Liquid Glass design, swipe actions, drag-and-drop reordering, and navigation transitions.
A workshop guide for AI Tinkerers Raleigh participants on installing Kiro IDE and cloning a repo for an agentic coding workshop.
Recap of AI Tinkerers Raleigh event on agentic coding at Amazon and hands-on workshop with Kiro for spec-driven development.
Explains the four-layer architecture of an agentic lakehouse for reliable AI agent data access.
Explores concurrency and isolation challenges when AI agents write to Apache Iceberg lakehouses, covering OCC mechanics, failure modes, and architectural patterns.
Explores context layers bridging table formats and business meaning using Atlan, Iceberg v3, and Snowflake Horizon for AI agents.
Explores how ClickHouse powers real-time analytics for AI agents, with ingestion patterns, event loop architecture, and production use cases.
Explains why composable analytics outperforms metric catalogs for AI agents, enabling dynamic metric composition and deeper data reasoning.
Architecture of goal-directed analytics agents using Apache Iceberg for durable state and dynamic task decomposition.
Explains Iceberg remote signing for regulated datasets, enhancing security by issuing per-file, one-time-use pre-signed URLs instead of storage credentials.
Explains Apache Iceberg v3 deletion vectors on Snowflake, their performance benefits over v2, and implementation details.
A guide to Apache Iceberg View Federation for portable SQL views across multiple query engines in a data lakehouse.
Explains how Apache Iceberg v3 row lineage enables native CDC without external tools like Debezium or Kafka.
Guide to implementing Model Context Protocol (MCP) in a lakehouse architecture with Python, covering specification, server building, and deployment.
Overview of modern Python tools for Apache Iceberg, including PyIceberg, IceFrame, and CLI for metadata management.
Microsoft Build 2026 unveils Fabric agentic analytics stack with Rayfin, HorizonDB, and Fabric IQ for AI-driven data integration.
