Why data protection is essential in DynamoDB - See It in Action

Why Data Protection is Essential in DynamoDB

📖 Scenario: You are managing a small online store's customer data using DynamoDB. Protecting this data is very important to keep customers' trust and comply with laws.

🎯 Goal: Build a simple DynamoDB table setup that shows how to store customer data securely and understand why data protection matters.

📋 What You'll Learn

Create a DynamoDB table named Customers with CustomerID as the primary key.

Add a configuration variable encryption_enabled set to True to represent data encryption.

Write a query to get customer data by CustomerID.

Add a final setting to enable point-in-time recovery for data protection.

💡 Why This Matters

🌍 Real World

Protecting customer data in online stores is critical to maintain trust and comply with privacy laws.

💼 Career

Database administrators and developers must know how to configure and protect data in cloud databases like DynamoDB.

1

Create the DynamoDB table

Create a DynamoDB table named Customers with CustomerID as the primary key.

DynamoDB

# Your code here to create the Customers table with CustomerID as primary key

Need a hint?

Use a dictionary named Customers with keys TableName, KeySchema, and AttributeDefinitions.

2

Add encryption configuration

Add a variable called encryption_enabled and set it to True to represent that data encryption is enabled.

DynamoDB

Customers = {
    'TableName': 'Customers',
    'KeySchema': [
        {'AttributeName': 'CustomerID', 'KeyType': 'HASH'}
    ],
    'AttributeDefinitions': [
        {'AttributeName': 'CustomerID', 'AttributeType': 'S'}
    ],
    'ProvisionedThroughput': {
        'ReadCapacityUnits': 5,
        'WriteCapacityUnits': 5
    }
}
# Your code here to set encryption_enabled to True

Need a hint?

Just create a variable encryption_enabled and assign True.

3

Write a query to get customer data

Write a function called get_customer_data that takes customer_id and returns a query dictionary to get the item from Customers table using CustomerID as the key.

DynamoDB

Customers = {
    'TableName': 'Customers',
    'KeySchema': [
        {'AttributeName': 'CustomerID', 'KeyType': 'HASH'}
    ],
    'AttributeDefinitions': [
        {'AttributeName': 'CustomerID', 'AttributeType': 'S'}
    ],
    'ProvisionedThroughput': {
        'ReadCapacityUnits': 5,
        'WriteCapacityUnits': 5
    }
}
encryption_enabled = True

# Your code here to define get_customer_data function

Need a hint?

Define a function that returns a dictionary with TableName and Key using the customer_id parameter.

4

Enable point-in-time recovery

Add a key PointInTimeRecoverySpecification to the Customers dictionary and set its Status to ENABLED to enable point-in-time recovery for data protection.

DynamoDB

Customers = {
    'TableName': 'Customers',
    'KeySchema': [
        {'AttributeName': 'CustomerID', 'KeyType': 'HASH'}
    ],
    'AttributeDefinitions': [
        {'AttributeName': 'CustomerID', 'AttributeType': 'S'}
    ],
    'ProvisionedThroughput': {
        'ReadCapacityUnits': 5,
        'WriteCapacityUnits': 5
    }
}
encryption_enabled = True

def get_customer_data(customer_id):
    return {
        'TableName': Customers['TableName'],
        'Key': {'CustomerID': {'S': customer_id}}
    }

# Your code here to enable point-in-time recovery

Need a hint?

Add the PointInTimeRecoverySpecification key with a nested Status set to ENABLED inside the Customers dictionary.