Which DSP component is responsible for parsing, filtering, routing, and performing additional data processing?

The Data Stream Processor is the component responsible for parsing, filtering, routing, and performing additional data processing in a data streaming architecture. Its main function is to handle the continuous flow of data from various sources, ensuring that the incoming data is structured appropriately and can be analyzed effectively. By parsing the data, it breaks it down into manageable parts and filters it to eliminate any irrelevant information, which is essential for maintaining data quality.

In addition to these functions, the Data Stream Processor routes the parsed data to the correct destinations within the system. This routing is crucial for efficient data management, as it ensures that data reaches the appropriate analytical tools or storage systems for further processing or querying. The additional data processing carried out by the Data Stream Processor can include tasks such as enrichment, aggregation, and transformation, which prepare the data for more complex analysis.

Other components like the Data Transmission Service primarily focus on the actual movement of data across the network rather than processing it, while the Data Input Manager is more about managing how data is ingested into the system. The Data Analysis Processor, while involved in analyzing data, does not typically handle the initial stages of data processing that involve parsing and filtering. Thus, the Data Stream Processor plays a critical role in the overall pipeline by ensuring