When processing data in GCP, which three factors are crucial to consider?

*The key factors to consider when processing data in GCP are stream or batch processing requirements, the amount of data moved between storage and processing services, and the geographical distance between data processing services and data storage. Stream or batch processing requirements dictate the choice of tools and the design of the data processing architecture. The amount of data transferred affects both cost and performance, as significant data movement can incur higher costs and impact processing speed. The geographical distance between the services processing the data and the data's storage location is crucial for minimizing latency and optimizing performance. In scenarios where data is processed far from its storage location, latency can significantly impact processing times, potentially increasing costs. Other factors, such as team size, number of projects, and data ingress and egress costs, while important in a broader project management context, are less directly relevant to the specifics of data processing strategy.*