Data pipelinesplay an essential role in connecting raw data to the platforms that are supposed to analyze and act on this data. Absent any automated pipelines, data would need to be gathered, cleaned up, and then transferred manually by analysts or programmers. Pipelines provide automated processing and enable the delivery of consistent information to data warehouses, lakes, dashboards, and other applications. In some cases, pipelines can even improve the quality of data through data validation and transformation. Companies can leverage pipelines for faster reporting, real-time analytics, scalable data processing, and making information available to their employees faster. E-commerce companies can implement pipelines to analyze customers' interactions with products and transactions in order to create personalized recommendations for the customers. Real-time pipelines can also be implemented in financial companies for transaction analysis and fraud detection purposes.