Introduction to Geospatial Capabilities on AWS
iHARP and AWS hosted its second set of Immersion Days on January 22 – 23, 2024. Researchers learned about AWS’s Geospatial capabilities and how to leverage the AWS platform to further iHARP Research abilities.
The event was fully virtual, below is a snapshot of the immersion days agenda. Both days were recorded, and subsequent recordings made accessible to iHARP members.**Please note some items from the agenda such as lunch and breaks, etc have been omitted from the above agenda**
Day One: January 22, 2024
Geospatial Overview
In this module, we will provide a high-level introduction to geospatial capabilities on AWS.
Earth on AWS/Open Data
Learn about Earth on AWS and how to interact with our Open Data platform.
SageMaker Geospatial Capabilities
In this module, we will discuss the geospatial capabilities of SageMaker and demo some of the newest SageMaker geospatial features announced at re:Invent.
Getting Started with your AWS Account
Getting Into Your AWS Account for today’s event.
Lab: SageMaker Studio Lab Hands-on
Day Two: January 23, 2024
Data Pipeline vs Step Functions vs Glue
In this module, we will provide a high-level introduction to Data Pipeline, Step Functions, and Glue. We will dive deeper into Step Functions.
Getting Started with your AWS Account
Getting Into Your AWS Account for today’s event.
Lab: Large Scale Data Processing with AWS Step Functions
Learn about how to build large-scale data processing solutions using serverless services such as AWS Step Functions, AWS Lambda and AWS Fargate. Utilizing the Distributed Map technique of Step Functions to execute same processing steps with up to 10,000 concurrency.
Lab: Climate Data Processing on AWS with ECS/Fargate
This workshop will step you through the key aspects of building a containerized Dask environment on AWS and performing some data analysis tasks that would be difficult to perform on a single machine (at least, they would take a long time unless you have a big machine!).
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Lab | iHARP Members experimented and practiced new skills within a training environment/ sandbox environment