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aws-node-text-analysis-via-sns-post-processing/README.md

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# Data processing
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This example demonstrates how to setup a simple data processing pipeline. The service exposes one HTTP endpoint that allows you to add a text note. This HTTP endpoint returns instantly to provide a good user experience while the actual analysis is deferred. Only message above a certain sentiment level are actually saved.
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This example demonstrates how to setup a simple data processing pipeline. The service exposes one HTTP endpoint that allows you to add a text note. This HTTP endpoint returns instantly to provide a good user experience while the actual analysis is deferred. Only messages above a certain sentiment level are actually saved.
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Instead of invoking another Lambda function directly it's best practise to store the note as a message in a SNS queue. The queue has certain benefits compared to invoking the `analyzeNote` function directly. The queue supports retries in case the analyzeNote function fails as well as back-off to avoid too many concurrent invocations.
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Instead of invoking another Lambda function directly it's considered best practice to store the note as a message in a SNS queue. The queue has certain benefits compared to invoking the `analyzeNote` function directly. The queue supports retries in case the analyzeNote function fails as well as back-off to avoid too many concurrent invocations.
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## Setup
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aws sts get-caller-identity --output text --query Account
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```
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# Explaination
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# Explanation
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- sns topic will be added by default
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