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The goal is to read real-time car telematic data, flatten and aggregate it utilizing Snowflake's advanced capabilities such as Dynamic tables, Snowpipe streaming and so on, in order to generate useful insights that will allow us to understand driver behavior.

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Abstract: The goal is to read real-time car telematic data, flatten and aggregate it utilizing Snowflake's advanced capabilities such as Dynamic tables, Snowpipe streaming and so on, in order to generate useful insights that will allow us to understand driver behavior.


Services & Tools used:

  • IoT Data using Python Script
  • Azure EventHub
  • Apache Kafka Connect
  • Snowflake
    • a. Snowpipe Streaming Service
    • b. Dynamic Tables

Solution Architecture:-

Solution Approach:-


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The goal is to read real-time car telematic data, flatten and aggregate it utilizing Snowflake's advanced capabilities such as Dynamic tables, Snowpipe streaming and so on, in order to generate useful insights that will allow us to understand driver behavior.

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