Debenhams

Scott Bateman

Geospatial Data Analytics on AWS: Discover how to manage and...

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At a Glance
End-to-end AWS data lake
Includes free PDF eBook
Python and R analytics
QuickSight visualization integration
Cloud antipatterns guidance included
Description

Build an endtoend geospatial data lake in AWS using popular AWS services such as RDS, Redshift, DynamoDB, and Athena to manage geodata Purchase of the print or Kindle book includes a free PDF eBook.Key FeaturesExplore the architecture and different use cases to build and manage geospatial data lakes in AWSDiscover how to leverage AWS purposebuilt databases to store and analyze geospatial dataLearn how to recognize which antipatterns to avoid when managing geospatial data in the cloudBook DescriptionManaging geospatial data and building locationbased 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 easytounderstand way, along with teaching you how to design and build data lake architecture in AWS for geospatial data.Youll begin by exploring the use of AWS databases like Redshift and Aurora PostgreSQL for storing and analyzing geospatial data. Next, youll leverage services such as DynamoDB and Athena, which offer powerful builtin 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, youll 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,...

SKU: M9781804613825
Product Details & Care

Binding: Paperback;276 pages; Publisher: Packt Publishing; Classification: N/A; Weight: 600.81 g; Dimensions: N/A

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