Longer form
Books
Books covering both halves of agentic analytics: the agents and AI systems doing the asking, the semantic and governance work that makes their answers trustworthy, and the lakehouse architecture holding the data underneath.
-
AI and Agents for Normal People
A practical guide to using AI tools for everyday tasks, covering Gemini, NotebookLM, ChatGPT, Claude, and local agent workflows without technical jargon.
-
AI Application Architecture: Patterns for Building Intelligent Systems
Covers architectural patterns for building intelligent applications, from inference pipelines to multi-agent orchestration.
-
Apache Iceberg for Agentic AI: Connecting Structured Enterprise
Explores how to connect structured enterprise data in Apache Iceberg lakehouses to agentic AI systems.
-
Being Productive with Open Models
A practical guide to using open models with Opencode, PI, and Hermes for AI-assisted development.
-
Building Knowledge Systems for AI: Graphs, RAG, Memory, and Context
A deep dive into building robust knowledge systems for AI using knowledge graphs, RAG, memory architectures, and context management.
-
Constructing Context and Semantics for AI Agents
A practical guide to embeddings, knowledge graphs, memory systems, RAG, evaluation, and production agent architectures.
-
Enabling Agentic Analytics with Apache Iceberg and Dremio
A practical guide to building AI-ready lakehouse systems using Apache Iceberg and Dremio for agentic analytics workflows.
-
Evaluating AI Systems: Testing LLMs, RAG, and Agents
A guide to properly testing and evaluating AI systems, including benchmarking strategies for LLMs, RAG pipelines, and agents.
-
Governing AI Systems
A guide to AI governance frameworks, covering risk management, compliance, ethics, and organizational oversight of AI systems.
-
Hands-On Agentic Engineering: A Practical Guide to Building Multi-Agent Systems
A practical guide to building multi-agent systems with Apache Iceberg.
-
The 2026 Guide to Lakehouses, Apache Iceberg and Agentic AI
A comprehensive guide covering the convergence of lakehouse architecture, Apache Iceberg, and the rise of agentic AI systems.
-
The Agentic Enterprise: Deploying AI Agents Across the Modern Organization
A guide to deploying AI agents across enterprise functions, covering strategy, governance, and organizational adoption.
-
The AI Lakehouse: Architecting Data Platforms for AI
Explores how to architect data lakehouse platforms specifically designed to serve AI and machine learning workloads.
-
The Book on Agentic Analytics
Explores the foundations of agentic data architecture, where AI agents autonomously discover, query, and analyze data.
-
The Book on Data, Data Engineering, Data Analytics, and Agentic AI - Volume 1
A complete guide to modern data systems, data engineering, analytics, and AI.
-
The Book on Data, Data Engineering, Data Analytics, and Agentic AI - Volume 2
A complete guide to SQL analytics, BI, and agentic AI for modern data platforms.
-
The No Lock-in Apache Iceberg Lakehouse with Agentic Analytics
A practical guide to building a portable Apache Iceberg lakehouse with open catalogs, agentic analytics, and AI-ready data platforms while avoiding vendor lock-in.
-
Using AI Agents for Data Engineering and Data Analysis
A practical guide to leveraging AI agents for automating data engineering pipelines and performing intelligent data analysis.
-
AI-Ready Data
Designing data platforms optimized for LLMs, AI agents, and retrieval-augmented generation (RAG) workflows.
-
Dremio and the Semantic Layer
The journey to providing meaning and context for AI with Dremio's semantic layer.
-
Shipping AI: From Prototype to Production Systems
Covers the full lifecycle of taking AI systems from prototype to production, including deployment, scaling, and monitoring.
-
The 2026 Guide to AI-Assisted Development
Covers prompt engineering, AI coding assistants, and agent-driven development workflows for modern software engineers.
-
The AI Engineering Handbook
A full-stack reference for building AI systems, covering LLMs, embeddings, agents, RAG, and production deployment patterns.
-
The Economics of AI: Cost, Latency, and Infrastructure Tradeoffs
Analyzes the cost structures of AI systems and how to optimize spending across compute, latency, and infrastructure.
-
The Economics of Labor in the AI Era
Examines how the AI era is disrupting the labor market and explores paths for adaptation and the future of work.
- Flagship title
Apache Iceberg: The Definitive Guide
O'Reilly Media
A comprehensive guide to Apache Iceberg and modern lakehouse architecture, covering table format internals, schema evolution, partitioning, and integration with major query engines.
- Flagship title
Apache Polaris: The Definitive Guide
O'Reilly Media
A guide to open catalogs for Apache Iceberg lakehouses, covering Polaris catalog architecture, configuration, and governance.
- Flagship title
Architecting an Apache Iceberg Lakehouse
Manning Publications
Architecture patterns and best practices for building production-grade, Iceberg-based data platforms from the ground up.
-
The Book on Apache Polaris
Building the open data lakehouse with the industry standard Iceberg REST catalog.
-
The Lakehouse Built for Everyone
From laptop prototypes to enterprise-scale agentic AI with Apache Iceberg and Dremio.
-
The Open Source Lakehouse: Architecting the Decoupled Analytical Foundation
Covers building a fully decoupled lakehouse using open source technologies, emphasizing modularity and vendor independence.
-
The Book on Using Apache Iceberg with Python
A hands-on guide to working with Apache Iceberg using Python tools like PyIceberg, PySpark, and other Python-based engines.
-
Being Productive with Claude
A practical guide to Claude.ai, Claude Code, and Claude Dispatch for AI-powered development.
-
Being Productive with Google AI
A practical guide to using Google's AI ecosystem including Gemini, NotebookLM, Veo, Gemini Spark, and Jules.
-
Being Productive with Grok and Cursor
A practical guide to the xAI and Cursor coding ecosystem covering Grok Chat, Grok Build, DeepSearch, Cursor Composer, Agent Mode, MCP servers, and local model runtimes for agentic development workflows.
-
Being Productive with Microsoft Copilot
A practical guide to the Microsoft Copilot ecosystem covering Copilot Chat, M365 Copilot, GitHub Copilot Agent Mode, Copilot Studio, Copilot Cowork, and Copilot Plus PC features.
-
Being Productive with OpenAI Codex
A practical guide to building documents, images, video, websites, and apps with an AI agent using OpenAI Codex.
No titles carry that tag.