Explanation

A data pipeline is a series of processes that extract data from multiple sources, transform the data into a standardized format, and load it into a target system for analysis.

The primary purpose of a data pipeline in data modeling is to prepare and transform data for analysis, making it possible to:

• Extract data from various sources
• Clean and preprocess the data
• Transform the data into a format suitable for analysis
• Load the data into a data warehouse or analytics platform