A data pipeline is a series of processes that move and transform data from one system to another. It typically involves data collection, processing, and storage, allowing organizations to efficiently manage and analyze large volumes of information. Data pipelines can automate workflows, ensuring that data is consistently updated and available for decision-making. In a data pipeline, various tools and technologies are used, such as ETL (Extract, Transform, Load) processes, data warehouses, and cloud storage. These components work together to streamline data flow, making it easier for businesses to derive insights and improve operations based on accurate and timely information.