How to load data from Coda to DynamoDB

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

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Set up a Coda 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 Coda 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 Coda 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 Coda

Begin by exporting your data from Coda. Log into your Coda account, open the document containing the data, and use the export feature to download your data in a CSV format. This can typically be done by clicking on "File" and then selecting "Download as CSV."

Open the exported CSV file and clean up the data to ensure it matches the schema requirements of your DynamoDB table. Remove any unnecessary columns, ensure all data types are correct, and ensure there are no missing values in required fields.

Install and configure the AWS Command Line Interface (CLI) on your local machine. This can be done by downloading the installer from the AWS website and following the installation instructions. Once installed, run `aws configure` to enter your AWS Access Key, Secret Key, default region name, and output format.

Before importing the data, ensure that your DynamoDB table exists. Use the AWS Management Console, AWS CLI, or AWS SDK to create a table with the appropriate key schema and attributes. If using AWS CLI, the command might look like:
```bash
aws dynamodb create-table --table-name YourTableName --attribute-definitions AttributeName=YourAttributeName,AttributeType=S --key-schema AttributeName=YourAttributeName,KeyType=HASH --provisioned-throughput ReadCapacityUnits=5,WriteCapacityUnits=5
```

Use a script or a command-line tool to convert the CSV file into a JSON format that DynamoDB can accept. You can write a Python script using the `csv` and `json` modules, or use a tool like `csvtojson` if available. Ensure the JSON structure aligns with your DynamoDB table's schema.

Use the AWS CLI to import the JSON data into DynamoDB using the `batch-write-item` command. Due to DynamoDB limits, you may need to split your data into batches of 25 items or less. A sample command might look like:
```bash
aws dynamodb batch-write-item --request-items file://yourdata.json
```
Ensure your JSON file is structured correctly to match the `PutRequest` format expected by DynamoDB.

After the data import, verify that the data has been correctly imported into DynamoDB. You can do this by using the AWS Management Console to view your table, or by using the AWS CLI to scan the table:
```bash
aws dynamodb scan --table-name YourTableName
```
Review the output to ensure all records are present and accurate.

By following these steps, you can move data from Coda to DynamoDB without relying on third-party connectors or integrations.