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.
Books by Alex Merced
Books by Alex Merced on lakehouse architecture, Apache Iceberg, catalogs, and agentic analytics. Several are free.
27 of 65 titles. See the complete catalog
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.
O'Reilly Media
A guide to open catalogs for Apache Iceberg lakehouses, covering Polaris catalog architecture, configuration, and governance.
Manning Publications
Architecture patterns and best practices for building production-grade, Iceberg-based data platforms from the ground up.
Explores how to connect structured enterprise data in Apache Iceberg lakehouses to agentic AI systems.
The journey to providing meaning and context for AI with Dremio's semantic layer.
A practical guide to building AI-ready lakehouse systems using Apache Iceberg and Dremio for agentic analytics workflows.
A comprehensive guide covering the convergence of lakehouse architecture, Apache Iceberg, and the rise of agentic AI systems.
Explores how to architect data lakehouse platforms specifically designed to serve AI and machine learning workloads.
Explores the foundations of agentic data architecture, where AI agents autonomously discover, query, and analyze data.
Building the open data lakehouse with the industry standard Iceberg REST catalog.
A complete guide to modern data systems, data engineering, analytics, and AI.
A complete guide to SQL analytics, BI, and agentic AI for modern data platforms.
From laptop prototypes to enterprise-scale agentic AI with Apache Iceberg and Dremio.
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.
Covers building a fully decoupled lakehouse using open source technologies, emphasizing modularity and vendor independence.
A hands-on guide to working with Apache Iceberg using Python tools like PyIceberg, PySpark, and other Python-based engines.
A practical guide to using AI tools for everyday tasks, covering Gemini, NotebookLM, ChatGPT, Claude, and local agent workflows without technical jargon.
Covers architectural patterns for building intelligent applications, from inference pipelines to multi-agent orchestration.
A practical guide to using open models with Opencode, PI, and Hermes for AI-assisted development.
A deep dive into building robust knowledge systems for AI using knowledge graphs, RAG, memory architectures, and context management.
A practical guide to embeddings, knowledge graphs, memory systems, RAG, evaluation, and production agent architectures.
A guide to properly testing and evaluating AI systems, including benchmarking strategies for LLMs, RAG pipelines, and agents.
A guide to AI governance frameworks, covering risk management, compliance, ethics, and organizational oversight of AI systems.
A practical guide to building multi-agent systems with Apache Iceberg.
A guide to deploying AI agents across enterprise functions, covering strategy, governance, and organizational adoption.
A practical guide to leveraging AI agents for automating data engineering pipelines and performing intelligent data analysis.
Designing data platforms optimized for LLMs, AI agents, and retrieval-augmented generation (RAG) workflows.