11-20, 09:00–09:25 (Pacific/Auckland), WG607
Join me on this tour de force to learn how to optimize and cross-connect AWS services alongside common GIS software integrations.
Embracing cloud-native geospatial with AWS represents a paradigm shift in how organizations handle location-based data and spatial analytics. This modern approach combines the power of cloud computing with geospatial technologies to create scalable, efficient, and cost-effective solutions.
AWS provides a comprehensive ecosystem of services fully capable of embracing geospatial applications. Key components of cloud-native geospatial on AWS include:
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Storage Solutions: Amazon S3 for storing spatial data files, while Amazon Aurora with PostGIS extension handles spatial databases.
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Compute Services: AWS Lambda for serverless processing of spatial data, Amazon EC2 and AWS Batch for more intensive computational tasks, and Amazon EMR to embrace Spark and Apache Sedona.
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Analytics Tools: Amazon Athena for querying geospatial data, and Amazon SageMaker for spatial machine learning applications.
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Visualization: Amazon QuickSight for creating interactive maps and dashboards.
The benefits of this approach include:
- Scalability to handle varying workloads
- Pay-as-you-go pricing model
- Reduced infrastructure management overhead
- Global availability and low latency
- Built-in security and compliance features
This cloud-native approach enables you to deliver value through geospatial applications rather than managing infrastructure.
Dave Bianco is a seasoned Geospatial Solutions Architect with over 25 years of experience in the field. As a passionate advocate for cloud-native geospatial technologies, Dave has led numerous projects leveraging AWS services to solve complex spatial challenges. Dave brings a wealth of practical knowledge and insights to discussions on the future of geospatial technologies in the cloud era.