The article discusses exporting graph data from the Neptune DB cluster to an S3 bucket using AWS's neptune-export utility. By utilizing the 'neptune_ml' profile for the export task, a 'training-data-configuration.json' file is generated. This file will be crucial in the subsequent data processing steps necessary for link prediction. The initial data was previously loaded into Neptune DB through the Neptune Bulk Loader API. The export will facilitate further processing and feature encoding required in link prediction workflows.
We'll use the neptune-export utility provided by AWS to export data from the database and save it in local storage, before uploading to S3.
The goal is to export the data so it can be used in the next part of our data pipeline: preprocessing and feature encoding.
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