Data pipeline foundations
A data pipeline is a set of processes and technologies designed to transport, transform, and store data from one or more sources to a destination. The overarching objective is frequently to facilitate the collection and analysis of data, thereby enabling organizations to derive actionable insights. Consider a data pipeline to be similar to a conveyor belt in a factory: raw materials (in this case, data) are taken from the source, undergo various stages of processing, and then arrive at their final destination in a refined state.
The following diagram depicts the typical stages of a data pipeline:
Figure 11.1 – Example of a typical data pipeline
A typical data pipeline comprises four primary components:
- Data sources: These are the origins of your data. Sources of data include databases, data lakes, APIs, and IoT devices.
- Data processing units (DPUs): DPUs are the factory floor where raw data is transformed...
