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GitHub / AWS-Big-Data-Projects / HeartRate-Monitoring-using-AWS-IOT-and-AWS-KINESIS

you run a script to mimic multiple sensors publishing messages on an IoT MQTT topic, with one message published every second. The events get sent to AWS IoT, where an IoT rule is configured. The IoT rule captures all messages and sends them to Firehose. From there, Firehose writes the messages in batches to objects stored in S3. In S3, you set up a table in Athena and use QuickSight to analyze the IoT data.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AWS-Big-Data-Projects%2FHeartRate-Monitoring-using-AWS-IOT-and-AWS-KINESIS

Stars: 10
Forks: 1
Open issues: 4

License: apache-2.0
Language: Python
Size: 15.6 KB
Dependencies parsed at: Pending

Created at: almost 5 years ago
Updated at: almost 3 years ago
Pushed at: about 2 years ago
Last synced at: about 2 hours ago

Topics: amazon-athena, aws-iot, aws-kinesis, aws-quicksight

Funding Links https://github.com/sponsors/AWS-Big-Data-Projects

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