Geospatial Data Analytics on AWS: Discover how to manage and analyze geospatial data in the cloud

Cover
Title Page
Copyright and Credits
Contributors
Preface
Part 1: Introduction to the Geospatial Data Ecosystem
Introduction to Geospatial Data in the Cloud
	Introduction to cloud computing and AWS
	Storing geospatial data in the cloud
	Building your geospatial data strategy
		Preventing unauthorized access
		The last mile in data consumption
		Leveraging your AWS account team
	Geospatial data management best practices
		Data – it’s about both quantity and quality
		People, processes, and technology are equally important
	Cost management in the cloud
		Right-sizing, simplified
		The elephant in the server room
		Bird’s-eye view on savings
		Can’t we just add another server?
		Additional savings at every desk
	Summary
	References
Quality and Temporal Geospatial Data Concepts
	Quality impact on geospatial data
	Transmission methods
	Streaming data
	Understanding file formats
	Normalizing data
	Considering temporal dimensions
	Summary
	References
Part 2: Geospatial Data Lakes using Modern Data Architecture
Geospatial Data Lake Architecture
	Modern data architecture overview
	The AWS modern data architecture pillars
	Geospatial Data Lake
	Designing a geospatial data lake using modern data architecture
		Data collection and ingestion layer
		Data storage layer
		Data processing and transformation
		Data analytics and insights
		Data visualization and mapping
	Summary
	References
Using Geospatial Data with Amazon Redshift
	What is Redshift?
	Understanding Redshift partitioning
	Redshift Spectrum
	Redshift geohashing support
	Redshift AQUA
	Redshift geospatial support
	Launching a Redshift cluster and running a geospatial query
	Summary
	References
Using Geospatial Data with Amazon Aurora PostgreSQL
	Lab prerequisites
	Setting up the database
	Connecting to the database
		Installing the PostGIS extension
	Geospatial data loading
	Queries and transformations
	Architectural considerations
	Summary
	References
Serverless Options for Geospatial
	What is serverless?
		Serverless services
		Object storage and serverless websites with S3
	Geospatial applications and S3 web hosting
		Serverless hosting security and performance considerations
	Python with Lambda and API Gateway
	Deploying your first serverless geospatial application
	Summary
	References
Querying Geospatial Data with Amazon Athena
	Setting up and configuring Athena
	Geospatial data formats
		WKT
		JSON-encoded geospatial data
	Spatial query structure
	Spatial functions
	AWS service integration
	Architectural considerations
	Summary
	References
Part 3: Analyzing and Visualizing Geospatial Data in AWS
Geospatial Containers on AWS
	Understanding containers
		Scaling containers
		Container portability
		GDAL
		GeoServer
		Updating containers
	AWS services
		Deployment options
	Deploying containers
	Summary
	References
Using Geospatial Data with Amazon EMR
	Introducing Hadoop
		Introduction to EMR
	Common Hadoop frameworks
		EMRFS
	Geospatial with EMR
		Launching EMR
	Summary
	References
Geospatial Data Analysis Using R on AWS
	Introduction to the R geospatial data analysis ecosystem
	Setting up R and RStudio on EC2
	RStudio on Amazon SageMaker
	Analyzing and visualizing geospatial data using RStudio
	Summary
	References
Geospatial Machine Learning with SageMaker
	AWS ML background
		AWS service integration
	Common libraries and algorithms
	Introducing Geospatial ML with SageMaker
	Deploying a SageMaker Geospatial example
		First-time use steps
		Geospatial data processing
		Geospatial data visualization
	Architectural considerations
	Summary
	References
Using Amazon QuickSight to Visualize Geospatial Data
	Geospatial visualization background
	Amazon QuickSight overview
	Connecting to your data source
		Configuring Athena
		Configuring QuickSight
	Visualization layout
		Features and controls
		Point maps
		Filled maps
	Putting it all together
	Reports and collaboration
	Summary
	References
Part 4: Accessing Open Source and Commercial Platforms and Services
Open Data on AWS
	What is open data?
		Bird’s-eye view
		Modern applications
	The Registry of Open Data on AWS
		Requester Pays model
	Analyzing open data
		Using your AWS account
		Analyzing multiple data classes
	Federated queries with Athena
	Open Data on AWS benefits
	Summary
	References
Leveraging OpenStreetMapon AWS
	What is OpenStreetMap?
		OSM’s data structure
		OSM benefits
	Accessing OSM from AWS
	Application – ski lift scout
	The OSM community
	Architectural considerations
	Summary
	References
Feature Servers and Map Servers on AWS
	Types of servers and deployment options
	Capabilities and cloud integrations
	Deploying a container on AWS with ECR and EC2
	Summary
	Further reading
Satellite and Aerial Imagery on AWS
	Imagery options
		Sentinel
		Landsat
		NAIP
	Architectural considerations
	Demonstrating satellite imagery using AWS
	Summary
	References
Index
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