Step 2: Set Up the Amazon Command Line Interface (Amazon CLI) - Amazon Kinesis Data Analytics
Services or capabilities described in Amazon Web Services documentation might vary by Region. To see the differences applicable to the China Regions, see Getting Started with Amazon Web Services in China (PDF).

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

In this step, you download and configure the Amazon CLI to use with Kinesis Data Analytics.


The getting started exercises in this guide assume that you are using administrator credentials (adminuser) in your account to perform the operations.


If you already have the Amazon CLI installed, you might need to upgrade to get the latest functionality. For more information, see Installing the Amazon Command Line Interface in the Amazon Command Line Interface User Guide. To check the version of the Amazon CLI, run the following command:

aws --version

The exercises in this tutorial require the following Amazon CLI version or later:

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

  2. Add a named profile for the administrator user in the Amazon CLI config file. You use this profile when executing the Amazon CLI commands. For more information about named profiles, see Named Profiles in the Amazon 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 Amazon Regions, see Regions and Endpoints in the Amazon Web Services General Reference.


    The example code and commands in this tutorial use the US West (Oregon) Region. To use a different Region, change the Region in the code and commands for this tutorial to the Region you want to use.

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

    aws help

After you set up an Amazon account and the Amazon CLI, you can try the next exercise, in which you configure a sample application and test the end-to-end setup.

Next Step

Step 3: Create and Run a Kinesis Data Analytics for Apache Flink Application