Which of the following is NOT a type of data pipeline?

The answer indicates that "Synchronous" is not a type of data pipeline. This is correct because data pipelines are generally categorized based on how and when data is processed. The primary types of data pipelines include batch, incremental, and streaming.

Batch processing involves collecting and processing data in groups or "batches" at defined intervals. Incremental processing, on the other hand, refers to the ongoing updates to a dataset where only new or changed data is processed rather than the entire dataset each time. Streaming, or real-time processing, continuously ingests and processes data as it is generated, allowing for immediate analysis and insights.

"Synchronous" refers more to the timing and coordination of processes rather than a method of data pipeline architecture. It implies that a process must wait for another process to complete before it can begin, which is not a characteristic that defines the functioning of a data pipeline itself. Hence, it does not fit into the typical categories used to describe data pipelines.