Stream data ingestion

Data ingestion represents a mechanism in which data is moved from a specific type of source to destination storage, where it can be further used for advanced analytics. Where there are very large data volumes, data is generally streamed to the destination storage, but only on the condition that the source and destination systems are capable of handling continuous streams of data. Stream data ingestion can be of one of two types: one is event-based and another one uses message queues.

Flume event-based data ingestion

Flume is a highly available distributed system that is used for streaming data ingestion. It collects, aggregates, and processes streaming data on the fly and stores it on disk for reliability...