CLOUD LABS
Ingesting Data into Amazon Timestream with AWS IoT Core
In this Cloud Lab, you’ll learn to make use of the Amazon Timestream database for ingesting real-time IoT data using AWS IoT Core.
intermediate
Certificate of Completion
Learning Objectives
Amazon Timestream has the ability to handle high-frequency, time-ordered data points with low-latency querying and scalability to make informed decisions at organizations.
You will start this Cloud Lab by registering your local device with IoT Core. For that, you will first create an IoT thing. Next, you will create the security credentials required by your device to connect with the IoT Core and use these credentials to send data from your device to IoT Core and use the MQTT test client to see the data being received by IoT Core. After that, you will create an Amazon Timestream database and a table within that database, which will store the data being published on the IoT Core. You will then use the IoT rule to integrate the database with the IoT core. Lastly, you will publish messages to the IoT core and use SQL queries to check if that data is being ingested by Amazon Timestream.
After completing this Cloud Lab, you will be able to effectively ingest and store device data in Amazon Timestream using AWS IoT Core.
The diagram below shows the architecture that we will provision in this Cloud Lab:
Before you start...
Try these optional labs before starting this lab.
Relevant Course
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I prefer Educative courses because they have a nice mix of text & images. I find that with full video courses, it can often be too easy to go into passive learning mode.
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Your method is simple, straight to the point and I can practice with it everywhere, even from my phone, that's something I have never had in other learning platforms.
![TestimonialsImg](/static/imgs/FelipeMatheus.png)
I highly recommend Educative. The courses are well organized and easy to understand.
![TestimonialsImg](/static/imgs/AdinaOng.png)
I prefer Educative courses because they have a nice mix of text & images. I find that with full video courses, it can often be too easy to go into passive learning mode.
![TestimonialsImg](/static/imgs/CliffordFajardo.png)
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