How to load data from Mailchimp to DynamoDB

Learn how to use Airbyte to synchronize your Mailchimp data into DynamoDB within minutes.

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Set up a Mailchimp connector in Airbyte

Connect to or one of 400+ pre-built or 10,000+ custom connectors through simple account authentication.

Set up DynamoDB for your extracted Mailchimp data

Select where you want to import data from your source to. You can also choose other cloud data warehouses, databases, data lakes, vector databases, or any other supported Airbyte destinations.

Configure the Mailchimp to DynamoDB in Airbyte

This includes selecting the data you want to extract - streams and columns -, the sync frequency, where in the destination you want that data to be loaded.
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How to Sync to Manually

Step 1: Extract Data from Mailchimp

To begin, you'll need to access your Mailchimp account and export the data you wish to transfer. Mailchimp allows you to export subscriber data and campaign reports. Navigate to the audience section, select the desired list or audience, and use the export function to download the data in CSV format.

Once you have the data in CSV format, review it to ensure that all necessary fields are included for your DynamoDB schema. Cleanse the data by removing any unnecessary columns and standardize the format to match the structure of your DynamoDB table.

If you haven't already, set up your AWS environment. This includes creating an AWS account and setting up IAM roles and permissions. Ensure you have the necessary access rights to create and manage DynamoDB tables. Additionally, install and configure the AWS CLI on your local machine for executing commands.

In the AWS Management Console, navigate to the DynamoDB service and create a new table. Define the primary key (partition key and optionally a sort key) based on how you plan to access the data. Ensure that the table schema aligns with the data structure you plan to import.

Convert your cleansed CSV data into a JSON format that can be ingested by DynamoDB. This can be achieved by writing a simple script using Python or another programming language of your choice. Each JSON object should correspond to an item in the DynamoDB table and match the attribute structure defined during table creation.

Utilize the AWS CLI to batch write the JSON data into your DynamoDB table. Use the `aws dynamodb batch-write-item` command, which allows you to upload multiple items at once. Ensure you handle any errors or failures during this process by implementing retries or logging mechanisms.

After the data import process, verify that all items have been successfully transferred to DynamoDB. Use the AWS Management Console or the AWS CLI to query the table and check for data accuracy. Validate that the data types and structures match your expectations and resolve any discrepancies found.

This process allows you to manually transfer data from Mailchimp to DynamoDB, ensuring complete control over the data migration without relying on third-party services.