Data pipeline

A series of data processing steps where data is ingested from various sources, processed, and then stored or used for analysis. The steps typically include data collection, data cleaning, data transformation, and data storage, ensuring that data flows smoothly from its source to its destination. Data pipelines are essential for enabling real-time analytics, machine learning, and other data-driven applications, benefiting data engineers, analysts, and businesses seeking to leverage data for decision-making.