Implement a Data Ingestion Solution Using Amazon Kinesis Data Streams
In this lab, you will create a Kinesis Data Stream. When you’re finished with this lab, you will be able to ingest real-time data into Kinesis Data Streams using the Python API for Kinesis.
Terms and conditions apply.
Challenge
Create a Kinesis Data Stream
You will configure a Kinesis Data Stream so that live temperature sensor data can be ingested.
Challenge
Connect to an EC2 and Configure Live Temperature Feeds to the Data Stream
You'll schedule live temperature feeds using a Python script and the Kinesis API to ingest data into Kinesis.
Challenge
Monitor Incoming Data to the Kinesis Data Stream
You'll see the live traffic of temperature sensor data feeds being ingested into Kinesis, and will observe the incoming data based on multiple metrics.
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
- AWS EC2
- AWS CLI, namely the Linux command prompt
- Python