Geospatial Data Analytics on AWS 1st Edition

Capture the power of cloud-native spatial analytics with Geospatial Data Analytics on AWS, 1st Edition by Scott Bateman. This practical guide immediately connects you to modern geospatial workflows that scale — from processing high-resolution satellite imagery and LiDAR to deploying map-ready vector datasets in production.

Discover step-by-step approaches for building resilient, cost-effective geospatial pipelines on AWS. The book translates complex concepts into actionable patterns: efficient storage with Amazon S3, distributed processing on EMR and EC2, serverless orchestration with AWS Lambda, fast querying via Amazon Athena, and model-driven GeoAI with SageMaker. Learn best practices for handling raster and vector data, GeoTIFFs and tiled web maps, spatial indexing, reprojection, and automation with CloudFormation.

Designed for GIS professionals, data scientists, and remote-sensing engineers, this book balances theory and hands-on examples to help you reduce processing time, lower costs, and improve reproducibility. Real-world case studies show how to ingest satellite imagery, build machine learning-ready datasets, and serve maps and analytics at scale — essential for environmental monitoring, urban planning, agriculture, and emergency response.

If you want to modernize your geospatial stack and unlock faster insights from spatial data, this is your blueprint for deploying robust geoanalytics on AWS. Equip your team with the skills to turn spatial data into strategic decisions — get your copy of Geospatial Data Analytics on AWS today.

Note: eBooks do not include supplementary materials such as CDs, access codes, etc.