You are tasked with building a machine learning model to detect anomalies in real-time sensor data from IoT devices. You plan to use Google Cloud Pub/Sub to manage the incoming data streams. Once the anomalies are detected, you need to store the results so they can be used for further analytics and visualization. Considering these requirements, how should you configure your data processing and storage pipeline in Google Cloud?