How to load data from Monday to DynamoDB

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

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Bespoke pipelines are:
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Start syncing with Airbyte in 3 easy steps within 10 minutes

Set up a Monday 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 Monday 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 Monday 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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Check out our interactive demo and our how-to videos to learn how you can sync data from any source to any destination.

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How to Sync to Manually

Step 1: Understand the API Requirements

Begin by reviewing the API documentation for both Monday.com and DynamoDB. Monday.com provides a GraphQL API that allows you to query data, while DynamoDB offers a RESTful API for data manipulation. Familiarize yourself with the necessary authentication methods, endpoints, and data structures for both services.

Step 2: Set Up Authentication

Generate and store API tokens for accessing both Monday.com and DynamoDB. For Monday.com, create an API token through your account settings. For DynamoDB, set up IAM user credentials with appropriate permissions. These tokens and credentials will be used to authenticate your API requests.

Step 3: Extract Data from Monday.com

Write a script to query Monday.com using its GraphQL API. The script should be able to fetch the desired data, such as boards, items, and columns. Use HTTP requests to execute the GraphQL queries, and parse the JSON response to extract the data you need.

Step 4: Transform Data for DynamoDB

Once you have the data from Monday.com, transform it to fit the schema expected by DynamoDB. This may involve converting data types, restructuring nested objects, and ensuring that each item has a unique primary key and optional secondary keys as required by your DynamoDB table design.

Step 5: Set Up DynamoDB Table

Log into your AWS Management Console and create a new DynamoDB table. Define the primary key and any secondary indexes needed for efficient querying. Ensure that your table is configured to handle the expected data volume and access patterns.

Step 6: Insert Data into DynamoDB

Use the AWS SDK for your chosen programming language to write a script that inserts the transformed data into your DynamoDB table. The script should handle batching of requests if you're dealing with large datasets to optimize write throughput and avoid exceeding rate limits.

Step 7: Verify Data Integrity

After data insertion, validate the data in your DynamoDB table to ensure accuracy and completeness. You can do this by running queries to check for consistency and comparing a sample of the data against the original data in Monday.com. Adjust your scripts as needed to address any discrepancies.

By following these steps, you can effectively transfer data from Monday.com to DynamoDB without relying on third-party connectors or integrations.