Step 2: Set Up the AWS Command Line Interface (AWS CLI) - Amazon Kinesis Data Analytics for SQL Applications Developer Guide
Next Step

For new projects, we recommend that you use the new Managed Service for Apache Flink Studio over Kinesis Data Analytics for SQL Applications. Managed Service for Apache Flink Studio combines ease of use with advanced analytical capabilities, enabling you to build sophisticated stream processing applications in minutes.

Step 2: Set Up the AWS Command Line Interface (AWS CLI)

Follow the steps to download and configure the AWS Command Line Interface (AWS CLI).

Important

You don't need the AWS CLI to perform the steps in the Getting Started exercise. However, some of the exercises in this guide use the AWS CLI. You can skip this step and go to Step 3: Create Your Starter Amazon Kinesis Data Analytics Application, and then set up the AWS CLI later when you need it.

To set up the AWS CLI

  1. Download and configure the AWS CLI. For instructions, see the following topics in the AWS Command Line Interface User Guide:

  2. Add a named profile for the administrator user in the AWS CLI config file. You use this profile when executing the AWS CLI commands. For more information about named profiles, see Named Profiles in the AWS Command Line Interface User Guide.

    [profile adminuser]
aws_access_key_id = adminuser access key ID
aws_secret_access_key = adminuser secret access key
region = aws-region

    For a list of available AWS Regions, see Regions and Endpoints in the Amazon Web Services General Reference.

  3. Verify the setup by entering the following help command at the command prompt: 

    aws help

Next Step

Step 3: Create Your Starter Amazon Kinesis Data Analytics Application