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Build an end-to-end 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 Features Explore the architecture and different use
cases to build and manage geospatial data lakes in AWS Discover how
to leverage AWS purpose-built databases to store and analyze
geospatial data Learn how to recognize which anti-patterns to avoid
when managing geospatial data in the cloud Book DescriptionManaging
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.What you will learn Discover how to optimize the cloud
to store your geospatial data Explore management strategies for
your data repository using AWS Single Sign-On and IAM Create
effective SQL queries against your geospatial data using Athena
Validate postal addresses using Amazon Location services Process
structured and unstructured geospatial data efficiently using R Use
Amazon SageMaker to enable machine learning features in your
application Explore the free and subscription satellite imagery
data available for use in your GIS Who this book is forIf you
understand the importance of accurate coordinates, but not
necessarily the cloud, then this book is for you. This book is best
suited for GIS developers, GIS analysts, data analysts, and data
scientists looking to enhance their solutions with geospatial data
for cloud-centric applications. A basic understanding of geographic
concepts is suggested, but no experience with the cloud is
necessary for understanding the concepts in this book.
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