Books by Alex Merced
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Books by Alex Merced on the topics the sessions cover: data engineering, lakehouse architecture, Apache Iceberg, and agentic analytics.
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AI-Ready Data
Designing data platforms optimized for LLMs, AI agents, and retrieval-augmented generation (RAG) workflows.
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The Book on Agentic Analytics
Explores the foundations of agentic data architecture, where AI agents autonomously discover, query, and analyze data.
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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.
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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.
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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.
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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.
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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.
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Apache Polaris: The Definitive Guide
O'Reilly Media
A guide to open catalogs for Apache Iceberg lakehouses, covering Polaris catalog architecture, configuration, and governance.
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Architecting an Apache Iceberg Lakehouse
Manning Publications
Architecture patterns and best practices for building production-grade, Iceberg-based data platforms from the ground up.
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Apache Iceberg for Agentic AI: Connecting Structured Enterprise
Explores how to connect structured enterprise data in Apache Iceberg lakehouses to agentic AI systems.
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Dremio and the Semantic Layer
The journey to providing meaning and context for AI with Dremio's semantic layer.
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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.
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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.
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The AI Lakehouse: Architecting Data Platforms for AI
Explores how to architect data lakehouse platforms specifically designed to serve AI and machine learning workloads.
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The Book on Apache Polaris
Building the open data lakehouse with the industry standard Iceberg REST catalog.
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The Lakehouse Built for Everyone
From laptop prototypes to enterprise-scale agentic AI with Apache Iceberg and Dremio.
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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.
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The Open Source Lakehouse: Architecting the Decoupled Analytical Foundation
Covers building a fully decoupled lakehouse using open source technologies, emphasizing modularity and vendor independence.
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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.
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AI Application Architecture: Patterns for Building Intelligent Systems
Covers architectural patterns for building intelligent applications, from inference pipelines to multi-agent orchestration.
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Being Productive with Open Models
A practical guide to using open models with Opencode, PI, and Hermes for AI-assisted development.
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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.
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Constructing Context and Semantics for AI Agents
A practical guide to embeddings, knowledge graphs, memory systems, RAG, evaluation, and production agent architectures.
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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.
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Governing AI Systems
A guide to AI governance frameworks, covering risk management, compliance, ethics, and organizational oversight of AI systems.
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Hands-On Agentic Engineering: A Practical Guide to Building Multi-Agent Systems
A practical guide to building multi-agent systems with Apache Iceberg.
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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.
