Create and run a SageMaker geospatial pipeline using an AWS SDK

Overview

This example scenario demonstrates using AWS Lambda and Amazon Simple Queue Service (Amazon SQS) as part of an Amazon SageMaker pipeline. The pipeline itself executes a geospatial job to reverse geocode a sample set of coordinates into human-readable addresses. Input and output files are located in an Amazon Simple Storage Service (Amazon S3) bucket.

When you run the example console application, you can execute the following steps:

Create the AWS resources and roles needed for the pipeline.
Create the AWS Lambda function.
Create the SageMaker pipeline.
Upload an input file into an S3 bucket.
Execute the pipeline and monitor its status.
Display some output from the output file.
Clean up the pipeline resources.

These steps are completed using AWS SDKs as part of an interactive demo that runs at a command prompt.

Implementations

This example is implemented in the following languages:

SPDX-License-Identifier: Apache-2.0