Description: The ‘Ingestion Pipeline’ refers to a series of automated processes designed to facilitate the ingestion of data into a data lake. This concept is fundamental in the field of data analysis, as it allows for the collection, transformation, and storage of large volumes of information from various sources. An efficient ingestion pipeline ensures that data is processed continuously and in real-time, which is crucial for informed decision-making. Pipelines can include stages such as data extraction, cleaning, normalization, and loading into the data lake, ensuring that information is available and accessible for subsequent analysis. Additionally, these processes can be configured to handle different types of data, including structured, semi-structured, and unstructured data, making them a versatile tool for organizations looking to maximize their data assets. In the context of technologies like big data frameworks and data lakes, ingestion pipelines are essential for effectively integrating and visualizing data, allowing companies to gain valuable insights and improve their operational performance.
