Extract Anomalous Events from Amazon Kinesis Streams with Kinesis Data Analytics
In this lab, you’ll practice extracting anomalous events with Kinesis Data Analytics. When you’re finished with this lab, you’ll have a streaming pipeline capable of detecting anomalous events in real-time and send them to an S3 bucket.
Terms and conditions apply.
Set Up a Kinesis Data Stream
You’ll create a new Kinesis Data Stream, and determine the number of shards required.
Create a Kinesis Producer Using Lambda Functions
You will create a new Kinesis Producer application using Lambda functions.
Run Kinesis Data Analytics Queries
You’ll create a Kinesis Data Analytics application using Streaming SQL Queries.
Sink Data to an S3 Bucket Using Kinesis Firehose
You’ll connect the output of a Kinesis Data Analytics application to an S3 bucket using Kinesis Firehose.
Provided environment for hands-on practice
We will provide the credentials and environment necessary for you to practice right within your browser.
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.
- AWS Lambda
- AWS Simple Storage Service ( S3 )