During which phase of streaming data collection does ingestion and buffering of streaming data occur?

The ingestion and buffering of streaming data occur during the streaming data processing phase. This is the stage where real-time data is captured and prepared for further analysis. In this phase, data from various sources is aggregated, organized, and temporarily stored before it is processed or sent to storage systems for longer-term access.

During streaming data processing, raw data is often transformed or enriched, enabling more insightful analytics later in the workflow. Buffers can help manage the flow of data to accommodate peaks in data volume and ensure seamless integration and processing, which is crucial for applications that rely on real-time insights.

In contrast, the other phases—such as data collection points, data delivery, and forwarding data—focus on different aspects of the data pipeline. For example, data collection points primarily involve the sources where data originates, while the data delivery phase relates to how and where the processed data is sent. The forwarding data phase typically involves the transmission of data to various destinations, but does not encompass the initial ingestion and buffering that occurs during processing.