How to load data from Azure Table Storage to Convex

Begin by logging into your Azure account and navigating to the Azure Table Storage service. Locate your storage account and access the 'Access keys' section under the 'Security + networking' tab. Note down the 'Storage account name' and 'Key1' as these will be needed for authentication.

On your local machine, install the Azure Storage SDK for your preferred programming language (e.g., Python, JavaScript, or C#). This SDK will allow you to programmatically access and manage Azure Table Storage data. For Python, you can install it using the command: `pip install azure-cosmosdb-table`.

Develop a script using the Azure Storage SDK to connect to your Azure Table Storage. Use the access keys obtained in Step 1 to authenticate. Write a query to fetch the required data from your table. For example, in Python:
```python
from azure.cosmosdb.table.tableservice import TableService
table_service = TableService(account_name='your_account_name', account_key='your_account_key')
entities = table_service.query_entities('your_table_name')
```

Once you've extracted the data, transform it to a format that is compatible with Convex, such as JSON. This may involve data cleaning or restructuring operations to ensure the data adheres to Convex's schema requirements. Use libraries like `json` in Python to handle the conversion.

Sign up or log into Convex and set up a new database if you haven't already. Locate the API keys or credentials needed to interact with your Convex instance programmatically. Make sure you have the necessary permissions to write data into your Convex database.

Write a script to send the transformed data to your Convex database using Convex's REST API. Construct HTTP POST requests to the appropriate endpoint, including your API key in the headers for authentication. Use libraries like `requests` in Python to facilitate this process. An example snippet might look like:
```python
import requests
url = 'https://your-convex-instance.com/api/v1/data'
headers = {'Authorization': 'Bearer your_api_key'}
response = requests.post(url, json=transformed_data, headers=headers)
```

After the data transfer, verify that all data has been successfully moved to Convex. Perform checks by comparing record counts or hashing data to ensure integrity. If possible, query the Convex database directly to confirm the data presence and accuracy. Rectify any discrepancies by reviewing logs or error messages.

By following these steps, you can manually migrate data from Azure Table Storage to Convex in a systematic and controlled manner without relying on third-party connectors.