---
title: "Jia Yu, Mo Sarwat og Pawel Tokaj Cloud Native Geospatial Analytics with Apache Sedona"
ean: "9781098173999"
brand: "Jia Yu, Mo Sarwat og Pawel Tokaj"
category: "Medier > Bøger"
price_min: 619
price_max: 619
currency: DKK
vendor_count: 1
in_stock: true
url: https://pricetracker.dk/p/9781098173999/cloud-native-geospatial-analytics-with-apache-sedona
last_checked: 2026-10-16
---

# Jia Yu, Mo Sarwat og Pawel Tokaj Cloud Native Geospatial Analytics with Apache Sedona

EAN 9781098173999 · Mærke: Jia Yu, Mo Sarwat og Pawel Tokaj · Kategori: Medier > Bøger

Sammenlign priser på Jia Yu, Mo Sarwat og Pawel Tokaj Cloud Native Geospatial Analytics with Apache Sedona fra 1 forhandler. Billigste pris nu: 619 kr hos Saxo DK. Se aktuelle priser og køb hos den billigste forhandler på https://pricetracker.dk/p/9781098173999/cloud-native-geospatial-analytics-with-apache-sedona

## Priser
- **Billigste pris nu:** 619 kr hos Saxo DK
- **Prisspænd:** 619 kr – 619 kr på tværs af 1 forhandler

## Forhandlere
| Forhandler | Pris | Levering |
|---|---|---|
| Saxo DK | 619 kr | — |

## Om produktet
Beskrivelse fra forhandleren Saxo DK:

> Navigating the complexities of large-scale spatial data can be daunting. In order to unleash the power of massive and complex datasets, you'll need a cutting-edge tool like Apache Sedona. This innovative distributed computing system, designed specifically for spatial data, has diverse applications in fields such as mobility, telematics, agriculture, climate science, and more. This book serves as your guide to leveraging this tool, along with other technologies, to unlock the potential of geospatial analytics. Authors Pawel Tokaj, Jia Yu, and Mo Sarwat provide practical solutions to the challenges of working with geospatial data at scale. Ideal for developers, data scientists, engineers, and analysts, this guide uses real-world examples to help you integrate Python data ecosystems, apply machine learning, construct geospatial data lakehouses, and handle modern geospatial data formats like GeoParquet. Understand how Apache Sedona helps data practitioners address challenges with geospatial data Learn how to run Apache Sedona, both locally and in cloud environments Efficiently load, query, and analyze geospatial datasets using spatial SQL Employ machine learning techniques to derive strategy-defining insights from spatial data Manage and optimize large-scale geospatial data within a data lakehouse architecture

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Priserne er sidst kontrolleret 2026-10-16.