What are data pipelines?
We generally use the word pipeline for a set of elements that are connected in a process, such as oil pipelines, gas pipelines, marketing pipelines, and so on. In particular, an element that is put into a pipeline is moved out via defined routes in a pipeline as output.
In computing, a data pipeline (or simply a pipeline) is referred to as a set of data processing elements that are connected in some series. Through a data pipeline, a set of elements are moved and transformed from various sources into destinations based on your implementation. A data pipeline usually consists of multiple tasks, such as data extraction, processing, validation, ingestion, pre-processing for machine learning use, and so on. Regarding the input and output of data pipelines, for example, the input is application logs, server logs, IoT device data, user data, and so on. The output of a data pipeline is analysis reports, a dataset for machine learning. The following diagram shows...
