Data ingestion is the process of collecting and importing data from various sources into a storage or processing system for analysis and interpretation. This can include batch processing of data sets, real-time streaming of data, and data transformation to ensure compatibility with the system's requirements. Data ingestion is a crucial step in the data pipeline and is essential for organizations looking to leverage data-driven insights for decision-making and business operations. It often involves extracting data from multiple sources, such as databases, APIs, logs, sensors, and other sources, and transforming it into a format that can be easily analyzed and processed.