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The Book on Using Apache Iceberg with Python: PyIceberg, PySpark, Datafusion and more
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By Alex Merced
Apache Iceberg has become the standard open table format for the modern data lakehouse, bringing ACID transactions, time travel, and schema evolution to data stored in object storage. But for Python developers, navigating the growing ecosystem of tools that interact with Iceberg can be overwhelming.
This book is your hands-on guide to mastering every major Python tool in the Iceberg ecosystem. Starting with the fundamentals of Iceberg's metadata architecture, you will learn how to build, query, and manage Iceberg tables using:
- PyIceberg - The official Python client for direct table management and schema evolution
- PySpark - Distributed processing at scale with Spark's Iceberg integration
- PyFlink - Real-time streaming ingestion and CDC pipelines
- DataFusion - High-performance, Rust-powered analytical queries from Python
- IceFrame - A high-level Polars-integrated wrapper for simplified operations
- Iceberg CLI - Command-line automation and catalog management
- Dremio - Lakehouse querying with SQL, Arrow Flight, and built-in AI functions
- Bauplan - Serverless, Git-like data pipelines with branch-and-merge workflows
- DuckDB - Lightning-fast local analytics with time travel and hybrid architectures
- Daft - Distributed DataFrames built for multimodal AI workloads
- SpiceAI - Edge-accelerated data access with sub-millisecond latency
Each chapter follows a practical, code-first approach with real-world examples, architectural diagrams, and production-ready patterns. Whether you are building batch ETL pipelines, streaming ingestion systems, or AI-powered applications at the edge, this book gives you the tools and knowledge to do it with confidence.
Written by Alex Merced, Head of Developer Relations at Dremio and author of Apache Iceberg: The Definitive Guide.
- ISBN-13979-8248778348
- Publication dateFebruary 17, 2026
- LanguageEnglish
- Dimensions6 x 0.27 x 9 inches
- Print length119 pages
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Product details
- ASIN : B0GNZ454FF
- Publisher : Independently published
- Publication date : February 17, 2026
- Language : English
- Print length : 119 pages
- ISBN-13 : 979-8248778348
- Item Weight : 8.3 ounces
- Reading age : 16 - 18 years
- Dimensions : 6 x 0.27 x 9 inches
- Best Sellers Rank: #1,172,756 in Books (See Top 100 in Books)
- #147 in SQL
- #183 in Data Warehousing (Books)
- #317 in Database Storage & Design
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