Final answer:
In order to handle lots of incoming data without a data payload, we can use tools like stream-processing platform, which are designed for handling big data high velocity scenarios.
Step-by-step explanation:
In order to handle lots of incoming data that doesn't have a data payload, we would use a data pipeline and stream processing system.
Distributed streaming platform can handle high volumes of data and provide real-time data processing capabilities.
It acts as a reliable and scalable message broker, allowing you to store and process large amounts of data streams.
Flink is a powerful stream processing framework that can handle large and continuous streams of data.
It provides high throughput and low-latency processing, making it suitable for handling big data high velocity scenarios.
These platforms enable seamless processing of data streams, offering a nimble and scalable solution for extracting valuable insights in dynamic and fast-paced data environments.