How to load data from Google Directory to Convex

Learn how to use Airbyte to synchronize your Google Directory data into Convex within minutes.

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Start syncing with Airbyte in 3 easy steps within 10 minutes

Set up a Google Directory connector in Airbyte

Connect to or one of 400+ pre-built or 10,000+ custom connectors through simple account authentication.

Set up Convex for your extracted Google Directory 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 Google Directory to Convex 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 Google Directory

Begin by logging into your Google Admin Console. Navigate to the "Users" section where you can access the directory data. Use the "Export" function to download the user information. You may need to select specific fields like names, email addresses, and any other relevant data you wish to migrate. The data will typically be exported in a CSV format.

Step 2: Prepare the Exported Data

Open the exported CSV file using a spreadsheet tool like Microsoft Excel or Google Sheets. Review the data to ensure it is complete and correctly formatted. Clean up any unnecessary fields and ensure that all required fields for Convex are present. Adjust the column headers to match the required format for Convex.

Step 3: Understand Convex Data Requirements

Familiarize yourself with the data structure that Convex requires. Read the Convex documentation to understand the necessary fields and data types. This understanding will guide you in aligning your Google Directory data with the Convex schema.

Step 4: Convert Data to Convex-Compatible Format

Using the spreadsheet tool, adjust the format of your data to match the Convex requirements. This may involve changing data types (e.g., date formats), ensuring all required fields are present, and possibly splitting or combining columns if necessary. Save this modified data in a format supported by Convex, typically CSV or JSON.

Step 5: Create a Convex Data Import Script

Write a script in a programming language like Python, Node.js, or any other language that can handle HTTP requests, to import the data into Convex. This script will read the formatted CSV or JSON file and use Convex's API to upload the data. Make sure to handle any authentication required by the Convex API.

Step 6: Test the Data Import Process

Before importing the entire dataset, test your import script with a small subset of data. This will help you verify that your script is working correctly and the data is being imported into Convex as expected. Check for any errors or mismatches and adjust your script accordingly.

Step 7: Execute Full Data Migration

Once you have confirmed that the test import was successful, proceed to import the full dataset into Convex using your script. Monitor the process for any errors and ensure all data is transferred correctly. After the import, verify the data within Convex to ensure its integrity and completeness.

By following these steps, you can manually transfer data from Google Directory to Convex without relying on third-party connectors or integrations.