---
title: "Jia Yu, Mo Sarwat og Pawel Tokaj Cloud Native Geospatial Analytics with Apache Sedona"
brand: "Jia Yu, Mo Sarwat og Pawel Tokaj"
category: "Ukategoriseret"
price_min: 624
currency: DKK
vendor_count: 1
in_stock: true
url: https://pricetracker.dk/p/cloud-native-geospatial-analytics-with-apache-sedona-1c2b17
last_checked: 2026-07-21
---

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

Mærke: Jia Yu, Mo Sarwat og Pawel Tokaj · Kategori: Ukategoriseret

Sammenlign priser på Jia Yu, Mo Sarwat og Pawel Tokaj Cloud Native Geospatial Analytics with Apache Sedona fra 1 forhandler. Billigste pris nu: 624 kr hos Saxo DK. Se aktuelle priser og køb hos den billigste forhandler på https://pricetracker.dk/p/cloud-native-geospatial-analytics-with-apache-sedona-1c2b17

## Priser
- **Billigste pris nu:** 624 kr hos Saxo DK

## Forhandlere
| Forhandler | Pris | Levering |
|---|---|---|
| Saxo DK | 624 kr | — |

## Om produktet
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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Kilde: PriceTracker. Fuld side med interaktiv prishistorik og købslinks: https://pricetracker.dk/p/cloud-native-geospatial-analytics-with-apache-sedona-1c2b17
Priserne er sidst kontrolleret 2026-07-21.