Managing geospatial data and building location-based applications in the cloud can be a daunting task. This comprehensive guide helps you overcome this challenge by presenting the concept of working with geospatial data in the cloud in an easy-to-understand way, along with teaching you how to design and build data lake architecture in AWS for geospatial data.
You’ll begin by exploring the use of AWS databases like Redshift and Aurora PostgreSQL for storing and analyzing geospatial data. Next, you’ll leverage services such as DynamoDB and Athena, which offer powerful built-in geospatial functions for indexing and querying geospatial data. The book is filled with practical examples to illustrate the benefits of managing geospatial data in the cloud. As you advance, you’ll discover how to analyze and visualize data using Python and R, and utilize QuickSight to share derived insights. The concluding chapters explore the integration of commonly used platforms like Open Data on AWS, OpenStreetMap, and ArcGIS with AWS to enable you to optimize efficiency and provide a supportive community for continuous learning.
By the end of this book, you’ll have the necessary tools and expertise to build and manage your own geospatial data lake on AWS, along with the knowledge needed to tackle geospatial data management challenges and make the most of AWS services.

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Spis treści

Geospatial Data Analytics on AWS. Discover how to manage and analyze geospatial data in the cloud eBook -- spis treści

• 1. Introduction to Geospatial Data in the Cloud
• 2. Quality and Temporal Geospatial Data Concepts
• 3. Geospatial Data Lake Architecture
• 4. Using Geospatial Data with Amazon Redshift
• 5. Using Geospatial Data with Amazon Aurora PostgreSQL
• 6. Serverless Geospatial
• 7. Querying Geospatial Data with Amazon Athena
• 8. Geospatial Containers on AWS
• 9. Geospatial Data with Amazon EMR
• 10. Geospatial Data Analysis using Python on AWS Cloud9
• 11. Geospatial Data Analysis using SageMaker
• 12. Using Amazon QuickSight to Visualize Geospatial Data
• 13. Open Data on AWS
• 14. Leveraging OpenStreetMap on AWS
• 15. Map and Feature Services on AWS
• 16. Satellite Imagery on AWS