As a GCP Cloud Architect, your task is to design a scalable data pipeline that can handle high volumes of incoming data and perform near-real-time analysis. Which set of GCP services would be the most effective for this requirement?

*Explanation: The most appropriate set of services is Cloud Pub/Sub, Cloud Dataflow, and BigQuery. Cloud Pub/Sub is an excellent choice for managing high-throughput and sporadic data streams due to its ability to handle large volumes of data and its scalability. Cloud Dataflow complements this by providing a powerful and fully managed service for processing both stream and batch data, making it ideal for dealing with the incoming data from Cloud Pub/Sub in a scalable way. Finally, BigQuery serves as a robust, fully-managed data warehouse that can analyze large amounts of data in near-real-time, making it a perfect choice for the final analysis stage. The combination of these services allows for a robust, scalable, and efficient data pipeline capable of handling sudden data spikes and performing near-real-time analytics.*