Use a batch processing approach and store the data in a temporary storage before processing.

Implement a custom deserialization logic to handle the temperature readings.

Use the built-in 'SELECT' statement with a threshold comparison to filter the temperature readings and output the results to an alerting service.

Leverage Azure Machine Learning to predict temperature thresholds and send alerts based on the predictions.