Description: Ingestion is the process of importing and processing data into a system, fundamental in the field of data management and analytics. This process involves collecting data from various sources, which can include databases, files, APIs, and real-time data streams. Ingestion can be categorized into two types: batch, where data is collected and processed at scheduled intervals, and real-time, where data is processed continuously as it arrives. Efficient ingestion is crucial to ensure that data is available for analysis and use in applications, allowing organizations to make informed decisions based on up-to-date data. Additionally, ingestion integrates with various technologies and platforms, such as Data Lakes, cloud storage systems, and data processing tools, making it an essential component in modern data architectures. The quality and speed of ingestion can significantly influence the overall performance of data systems, making this practice an important focus area in data engineering and DataOps.
