Implement a Data Ingestion Solution Using Amazon Kinesis Data Analytics
In this lab, you'll practice streaming analytics on simulated live temperature sensor data. When you're finished with this lab, you'll have learned to gather real-time insights and to predict anomalies.
Terms and conditions apply.
Challenge
Create Kinesis Data Stream
You'll configure a Kinesis Data Stream to accept streaming data from live temperature feeds (simulated IoT sensor devices).
Challenge
Connect to an EC2 and Configure Live Temperature Feeds to the Data Stream
You'll configure simulated live temperature feeds for Kinesis Data Streams.
Challenge
Create a Kinesis Data Analytics Application for Analyzing Live Temperature Feeds
You'll configure Kinesis Data Analytics application to analyze temperature sensor data.
Provided environment for hands-on practice
We will provide the credentials and environment necessary for you to practice right within your browser.
Guided walkthrough
Follow along with the author’s guided walkthrough and build something new in your provided environment!
Did you know?
On average, you retain 75% more of your learning if you get time for practice.
Recommended prerequisites
- Linux command prompt
- AWS CLI
- AWS S3 Buckets
- AWS CloudWatch
- Python
- AWS EC2 Instances