Professional DuckDB Programming
Idioma: inglés
Editorial: Amazon Digital Services LLC - Kdp, 2026
- Tapa blanda
- Nuevo
Librería: PBShop.store UK, Fairford, GLOS, Reino UnidoPBShop.store UK
Vendedor de IberLibro desde 11 de junio de 1999
Condición: Nuevo
EUR 38,76
Cantidad disponible: Más de 20 disponibles
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New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
N° de ref. del artículo L0-9798172621253
- Título
- Professional DuckDB Programming
- Autor
- K Cooke, Willie
- Editorial
- Amazon Digital Services LLC - Kdp
- Año de publicación
- 2026
- Estado
- New
- Encuadernación
- PAP
- Idioma
- inglés
- ISBN 13
- 9798172621253
- Peso del artículo
- 390 gramos
Picture this: a ten-million-row CSV file, a laptop, and a deadline in twenty minutes.
No server to spin up. No cluster to provision. No waiting on a data platform team to grant you access. You open a terminal, run one command, and get your answer before your coffee goes cold.
That is the promise DuckDB makes — and the promise this book helps you actually keep. You will start by understanding why this promise works: the columnar storage, the vectorized execution, the zero-copy querying that lets you skip loading data altogether. Then you will put it to work — joining a live Postgres table against a Parquet archive sitting in S3, all in one query. You will embed DuckDB inside a Python service, a Go backend, a Rust application. You will build pipelines that run without complaint at 3 a.m., and you will learn to read a query plan the way a mechanic reads an engine, spotting exactly where the time goes.
By the final page, DuckDB will not feel like a new tool you picked up. It will feel like the one you reach for automatically.
What's Inside- Foundations: OLAP vs. OLTP, DuckDB's architecture, and where it fits beside Pandas, Postgres, Snowflake, and Spark
- Analytical SQL: window functions, CTEs, advanced aggregation, and nested/JSON data
- Data engineering: reading and writing CSV, Parquet, and JSON at scale; connecting to Postgres, MySQL, and SQLite
- Embedded applications: building with DuckDB in Python, Node.js, Java, Go, and Rust, including transactions and concurrency
- Cloud-native workflows: querying S3, Azure, and GCS directly; Iceberg and Delta Lake; dbt, Airflow, and Dagster pipelines; MotherDuck
- Performance tuning: profiling with EXPLAIN ANALYZE, data layout strategies, and real benchmark results
- Advanced extension: building custom extensions, UDFs, geospatial analytics, and machine learning feature engineering
This book is written for:
- Data engineers tired of spinning up heavy infrastructure for jobs that fit on one machine
- Backend developers who want a genuinely fast embedded database inside their applications
- Data analysts and scientists ready to move past Pandas' limits without learning a whole new stack
- Anyone comfortable with basic SQL, looking for a serious, practical upgrade
No prior DuckDB experience is assumed. A working knowledge of SQL is all you need to start.
Every day you keep provisioning infrastructure for problems a laptop could solve is a day you are working harder than you need to. The tool is free, open source, and already faster than what you are using now.
The only question left is whether you start today, or after your next deadline forces your hand.
Open Chapter 1. Find out what your data has been waiting to tell you.
“Sinopsis” puede pertenecer a otra edición de este título.
PBShop.store UK
Fairford, GLOS, Reino Unido
Vendedor de IberLibro desde 11 de junio de 1999
Tarifas de envío de Reino Unido a Estados Unidos de America
| Artículo | De 10 a 20 días hábiles | De 10 a 20 días hábiles |
|---|---|---|
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