A Data Pipeline refers to a series of data processing steps where data is collected, processed, and delivered to the next stage. The pipeline automates the movement and transformation of data from its source to its destination, which could be a data lake, data warehouse, or another system. Each stage in the pipeline can include tasks such as data extraction, cleaning, transformation, aggregation, and enrichment. Data pipelines ensure the timely and accurate flow of data, supporting real-time analytics, reporting, and other data-driven applications. They are crucial for maintaining data quality and consistency across different systems.