How to load data from Adjust to DynamoDB

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

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Start syncing with Airbyte in 3 easy steps within 10 minutes

Set up a Adjust 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 Adjust 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 Adjust 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: Access Adjust API

Begin by accessing the Adjust API to retrieve the data you need. Adjust provides RESTful API endpoints that allow you to request data directly. You'll need an API token for authentication, which you can generate from your Adjust dashboard. Make sure to refer to Adjust's API documentation to understand the specific endpoints and parameters required for your data retrieval.

Use an HTTP client library in your preferred programming language (e.g., Python's `requests` library) to send GET requests to the Adjust API. Specify the appropriate endpoint and include any necessary query parameters to filter and format the data as required. Store the response data temporarily in a structured format, such as JSON, for further processing.

Once you have retrieved the data, examine its structure and contents. Determine the necessary transformations to match the schema of your DynamoDB tables. This might involve reformatting timestamps, converting data types, or mapping fields to align with DynamoDB's structure.

Implement a transformation process in your code to convert the Adjust data into the format required by DynamoDB. This step involves writing a function or script to iterate over your fetched data, applying the necessary transformations to each record. This might involve using libraries like `pandas` in Python for efficient data manipulation.

Set up the AWS SDK for your programming language to interact with DynamoDB. You'll need to configure your AWS credentials and specify the AWS region where your DynamoDB instance is hosted. Ensure that your IAM user has sufficient permissions to write data to DynamoDB.

Use the SDK's methods to insert the transformed data into your DynamoDB table. You can choose between batch operations or individual item inserts, depending on your data volume and the DynamoDB capacity settings. Make sure to handle any potential errors or exceptions, such as exceeding write capacity or encountering malformed data.

After the data has been inserted into DynamoDB, perform checks to ensure data integrity. This involves querying the DynamoDB table to verify that the expected data is present and correctly formatted. You may also want to implement logging or create a report to confirm that the data transfer was successful and complete.

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