A data pipeline is a series of processes that move and transform data from one system to another. It typically involves collecting data from various sources, processing it to ensure quality and consistency, and then storing it in a database or data warehouse for analysis. This automated flow helps organizations manage large volumes of data efficiently. Data pipelines can include various tools and technologies, such as ETL (Extract, Transform, Load) processes, which are essential for preparing data for analysis. By using data pipelines, businesses can gain insights from their data more quickly and make informed decisions based on real-time information.