A study of global climate change is building a network of environmental sensors distributed across the globe. Sensors are deployed in groups of 12 sensors and a gateway. An analytics pipeline is implemented in GCP. Data will be ingested by Cloud Pub/Sub and analyzed using the stream processing capabilities of Cloud Dataflow. The analyzed data will be stored in BigQuery for further analysis by scientists. The bandwidth between the gateways and the GCP is limited and sometimes unreliable. The scientists have determined that they need the average temperature, pressure, and humidity measurements of each group of 12 sensors for a one-minute period. Each sensor sends data to the gateway every second. This generates 720 data points (12 sensors × 60 seconds) every minute for each of the three measurements. The scientists only need the one-minute average for temperature, pressure, and humidity. What data processing strategy would you implement?