Create, Load, and Query Data on Amazon Aurora Serverless
In this lab, you’ll practice different operations regarding Aurora Serverless. When you’re finished with this lab, you’ll have gained the skills to create, load, and query data on Amazon Aurora Serverless.
Terms and conditions apply.
Create an Aurora Serverless Cluster
You will create an Aurora Serverless cluster.
Query the Database Using the Query Editor
You will create and load data into database tables, and then will query the data.
Store Credentials in the Secrets Manager
You will store the credentials in the AWS Secrets Manager.
Configure the Lambda Function
You will configure the Lambda function to query the database.
Query Aurora Serverless Using the Lambda Function
You will query the Aurora Serverless database using the Lambda function.
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.
- Familiarity with AWS Console is preferable.
- Familiarity with AWS Lambda is preferable.