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Spatial Data Mastery with DuckDB

From SQL Basics to Advanced Analytics, Cloud Pipelines & Real-World GIS Workflows

Jazyk AngličtinaAngličtina
Kniha Brožovaná
Kniha Spatial Data Mastery with DuckDB Sterling H. Westwood
Libristo kód: 50616669
Nakladateľstvo Independently published, november 2025
Unlock the full power of modern spatial analytics-without servers, clusters, or cloud bills.If you'v... Celý popis
? points 53 b
21.72
Skladom u dodávateľa Odosielame za 9-15 dní

30 dní na vrátenie tovaru

Unlock the full power of modern spatial analytics-without servers, clusters, or cloud bills.
If you've ever struggled with slow GIS tools, massive datasets, or chaotic workflows, you're not alone. Analysts everywhere are drowning in shapefiles, CSVs, and huge GeoParquet archives-and traditional tools simply can't keep up with the demands of big spatial data processing.

If you're tired of waiting minutes (or hours) for spatial joins, vector and raster analysis SQL, or heavy desktop tools, this book is for you.

You want:
  • Faster, cleaner ways to run spatial SQL for GIS

  • Tools that scale from small projects to global datasets

  • Reliable cloud-native geospatial workflows

  • Practical GIS data engineering techniques

  • Flexible spatial data pipelines that don't break

  • Seamless Python + DuckDB integration for analysis

This book gives you exactly that.

Spatial Data Mastery with DuckDB shows you how to build fast, reproducible, cloud-ready workflows using DuckDB's modern execution engine. You'll learn DuckDB spatial analytics, GeoParquet workflows, and geospatial analytics with Python, with the performance and simplicity that other tools can't match.


What You'll Gain Inside
  • A complete path from beginner to expert in spatial SQL and modern GIS

  • Hands-on tutorials for buffers, joins, overlays, distance, KNN, and projection fixes

  • High-performance patterns for partitioning, caching, tiling, and large-scale geometry ops

  • Cloud-native workflows using PMTiles, COGs, and scalable GeoParquet workflows

  • Python integrations that combine DuckDB with Pandas, Polars, and Leafmap

  • Techniques for processing 50M-500M+ rows on a laptop

  • Battle-tested troubleshooting guides for CRS issues, geometry errors & performance stalls

  • Real-world projects in urban modeling, mobility, wetlands, land cover & environmental risk



If you want to level up your geospatial workflow, this is the book.

Whether you're a GIS analyst, data engineer, environmental scientist, or developer, this guide gives you the modern toolkit needed to work faster, scale bigger, and build cloud-native geospatial systems that perform reliably in production.

Upgrade your skills. Transform your workflow. Build GIS systems that actually scale.
Start reading now.

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Informácie o knihe

Celý názov Spatial Data Mastery with DuckDB
Jazyk Angličtina
Väzba Kniha - Brožovaná
Dátum vydania 2025
Počet strán 426
EAN 9798275897319
Libristo kód 50616669
Nakladateľstvo Independently published
Váha 983
Rozmery 216 x 280 x 22
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