How to load data from Timely to DynamoDB

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

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Start syncing with Airbyte in 3 easy steps within 10 minutes

Set up a Timely 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 Timely 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 Timely 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 Timely

First, log in to your Timely account and navigate to the section where you can export data. Timely typically offers CSV or Excel export options. Choose the appropriate format and download the data to your local machine. Ensure you save the file in a location that is easily accessible.

Use a programming language like Python to parse the exported CSV or Excel file. You can use libraries such as `pandas` to read the data file into a DataFrame. This allows you to manipulate and prepare the data for insertion into DynamoDB.

Once you have the data in a DataFrame, convert it into a format suitable for DynamoDB. DynamoDB requires data to be in JSON format, with each item being a dictionary containing key-value pairs. Iterate through the DataFrame and transform each row into a dictionary.

Install and configure the AWS SDK for Python, known as `boto3`. If you haven't already configured AWS credentials, run `aws configure` in your command line to input your AWS Access Key, Secret Access Key, and the default region. This setup is critical for authenticating your requests to DynamoDB.

Before inserting data, ensure you have a DynamoDB table ready to receive it. Use the `boto3` library to create a table if it does not already exist. Define the primary key schema and set up necessary attributes. Wait for the table status to become active before proceeding.

Use `boto3` to batch write the data into your DynamoDB table. DynamoDB’s `batch_write_item` function allows you to insert multiple items at a time, which is efficient for large datasets. Ensure each item conforms to the table's schema to avoid errors during insertion.

After inserting the data, verify that it has been successfully transferred. Use `boto3` to scan the DynamoDB table and compare the items with your original dataset. Ensure all records are present and accurate. This step is crucial to confirm the data migration was successful.

By following these steps, you should be able to move data from Timely to DynamoDB effectively without relying on third-party connectors or integrations.