How to load data from HubSpot to DynamoDB

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

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Set up a HubSpot 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 HubSpot 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 HubSpot 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: Export Data from HubSpot

Start by logging into your HubSpot account. Navigate to the data you want to export, such as contacts or deals. Use the HubSpot export feature to download the data in a CSV format. This CSV file will act as your raw data source for further processing.

Open the exported CSV file in a spreadsheet application like Excel or Google Sheets. Review the data to ensure all necessary fields are included and clean up any unnecessary or malformed data that might affect import. Ensure that the data types match the intended schema of your DynamoDB table.

Install the AWS CLI on your machine if you haven�t already. Open your terminal and configure your AWS CLI with the command `aws configure`. Enter your AWS Access Key, Secret Access Key, region, and output format when prompted. This configuration is crucial for accessing AWS services.

Log in to your AWS Management Console and navigate to DynamoDB. Create a new table that matches the schema of your CSV data. Define the primary key and any required indexes. Make sure the table is set up to handle the projected data volume and read/write capacity.

Use a script in Python or another language of your choice to convert your CSV data to JSON format, which is compatible with DynamoDB. This script should read each row of the CSV and output a JSON object that matches the structure of your DynamoDB table items.

With your JSON data ready, use the AWS CLI or a script to batch write the data to your DynamoDB table. The AWS CLI command for this is `aws dynamodb batch-write-item`. If using a script, utilize AWS SDKs (like Boto3 for Python) to automate the process. Ensure you respect DynamoDB's batch write limits by splitting large data sets into multiple requests.

Once the data has been imported, verify the integrity and consistency of the data in DynamoDB. You can do this by running queries or scans on your table to check that the data matches your expectations. This verification step ensures that the migration was successful and that no data was lost or corrupted during the process.