Data Pipeline

A data pipeline automates the movement and transformation of data from various sources to a destination, typically for analysis or storage. It includes stages such as extraction, transformation, and loading (ETL), where data is cleaned, aggregated, and optimized for downstream tasks. Efficient data pipelines are crucial for machine learning and data analytics as they ensure timely and reliable access to quality data.