README.md

Step 0: Set Up Your Environment (AWS CLI)

This step will set up your local environment with:

• AWS CLI
• Credentials configured to deploy CloudFormation stacks

No Python or virtual environment is required.

Options

1. Github Codespaces (recommended)
2. Local Setup

Github Codespaces

• Fork the repo
• Go to Code -> Codespaces -> Create codespace on main
• Wait for setup to complete
• Proceed to step 4: Configure your AWS CLI

Step-by-Step Local Setup

1. Clone the repo

git clone https://github.com/OlaShabalina/aws-data-analytics-workshop.git
cd aws-data-analytics-workshop

2. Make the deploy script executable

chmod +x deploy.sh

We will use the script for deploying our CloudFormation templates.

3. Install AWS CLI & check

If AWS CLI is not installed, follow these instructions for your platform.

To check:

aws --version

4. Configure your AWS CLI

Create an access key via the AWS Console:

1. Go to IAM
2. Under Access Management, click Users
3. Select your user
4. Open the Security credentials tab
5. Click Create access key
6. Choose Use case: CLI
7. Your Access key ID and Secret access key will be generated.

Use the values from the steps above when running aws configure:

aws configure

You'll be prompted to enter:

• AWS Access Key ID
• AWS Secret Access Key
• Default region name → e.g. ap-southeast-2
• Default output format → json

To verify you're connected:

aws sts get-caller-identity

You should see your AWS account ID and user.

Continue to Step 1 - Create Your S3 Bucket and Upload Movie Data