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Of the two options you listed, I recommend the first one. You should just interface directly with S3 (or DynamoDB) and IoT Analytics if your data is not already being sent to the AWS IoT Core Message Broker.
You could alternatively use IoT Analytics for both the cold path and the warm path. You can use an IoT Analytics Datastore for cold storage in your S3 Bucket. [0] [1] You could then enrich the data in your IoT Analytics Dataset's query. This option is preferable if a SQL query is sufficient for your data enrichment needs.
Note that in both options I listed, you would ingest data into IoT Analytics through the BatchPutMessage API. What sets the second option apart is that you would not need to upload the data to S3 yourself; IoT Analytics would handle uploading the data to your bucket.
[0] https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-iotanalytics-datastore-customermanageds3.html
[1] https://docs.aws.amazon.com/iotanalytics/latest/userguide/getting-started.html#aws-iot-analytics-step-create-datastore
Edited by: DavidWataws on Feb 27, 2020 7:52 PM
Edited by: DavidWataws on Feb 27, 2020 7:53 PM
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