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{ "item_title" : "DuckDB & Arrow in Action", "item_author" : [" Alice Schwartz", "James Preston "], "item_description" : "Reactive PublishingModern data engineering is shifting toward lightweight, high-performance in-memory analytics. DuckDB & Arrow in Action provides a practical, hands-on guide to combining the fast SQL query processing of DuckDB with Apache Arrow's zero-copy memory format.Whether you are building real-time data pipelines or optimizing local analytical processing, this book delivers clear patterns for high-throughput data manipulation without the overhead of massive distributed clusters.What You Will Learn: Core Fundamentals: Master DuckDB's columnar execution engine and the memory layout of Apache Arrow.Zero-Copy Workflows: Pass large datasets seamlessly between DuckDB, PyArrow, and Rust without serialization overhead.Vectorized Processing: Write high-performance SQL and programmatic queries that leverage SIMD hardware acceleration.Pipeline Integration: Build efficient ETL and ELT data pipelines in Python and Rust for production environments.Performance Tuning: Optimize memory usage, indexing, and query execution plans for large-scale datasets.Designed for software engineers, data engineers, and data scientists, this book equips you with the tools to build faster, cost-effective data infrastructure using modern open-source technologies.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/9/79/819/154/9798191549248_b.jpg", "price_data" : { "retail_price" : "40.99", "online_price" : "40.99", "our_price" : "40.99", "club_price" : "40.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
DuckDB & Arrow in Action|Alice Schwartz

DuckDB & Arrow in Action : Scalable Pipelines and Vectorized Queries in Python and Rust

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Overview

Reactive Publishing

Modern data engineering is shifting toward lightweight, high-performance in-memory analytics. DuckDB & Arrow in Action provides a practical, hands-on guide to combining the fast SQL query processing of DuckDB with Apache Arrow's zero-copy memory format.

Whether you are building real-time data pipelines or optimizing local analytical processing, this book delivers clear patterns for high-throughput data manipulation without the overhead of massive distributed clusters.

What You Will Learn:

  • Core Fundamentals: Master DuckDB's columnar execution engine and the memory layout of Apache Arrow.

  • Zero-Copy Workflows: Pass large datasets seamlessly between DuckDB, PyArrow, and Rust without serialization overhead.

  • Vectorized Processing: Write high-performance SQL and programmatic queries that leverage SIMD hardware acceleration.

  • Pipeline Integration: Build efficient ETL and ELT data pipelines in Python and Rust for production environments.

  • Performance Tuning: Optimize memory usage, indexing, and query execution plans for large-scale datasets.

Designed for software engineers, data engineers, and data scientists, this book equips you with the tools to build faster, cost-effective data infrastructure using modern open-source technologies.

This item is Non-Returnable

Details

  • ISBN-13: 9798191549248
  • ISBN-10: 9798191549248
  • Publisher: Independently Published
  • Publish Date: August 2026
  • Dimensions: 9 x 6 x 1.54 inches
  • Shipping Weight: 1.63 pounds
  • Page Count: 622

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