Which phase of data processing allows monitoring of incoming data from various sources over a defined period?

The phase of data processing that allows for monitoring incoming data from various sources over a defined period is dataflow monitoring. This phase is essential because it provides visibility into the data pipeline, enabling users to track the flow of data in real-time or near real-time. By monitoring the dataflow, users can identify trends, detect anomalies, and ensure that the data being ingested meets quality standards. This aspect of data processing is crucial for maintaining the integrity and usability of data as it moves from sources to destinations.

In contrast, streaming ingestion typically focuses on the immediate processing of data as it arrives, rather than monitoring it over a period. The daily batch process is concerned with collecting and processing data in intervals, which does not inherently involve continuous monitoring. Event tracking, on the other hand, refers to capturing specific events rather than the overall monitoring of data coming from various sources. Thus, dataflow monitoring stands out as the correct choice, reflecting the proactive engagement with data across a defined timeframe.