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Flume

Apache Flume is a distributed, reliable, and available service for efficiently collecting, aggregating, and moving large amounts of log data from various sources to a centralized data store, such as Hadoop HDFS or HBase. It is designed to handle streaming data flows with a simple and flexible architecture based on streaming data flows, making it ideal for log aggregation and event data ingestion in big data environments. Flume ensures data reliability through configurable reliability mechanisms and supports failover and recovery.

Also known as: Apache Flume, Flume NG, Flume agent, Flume collector, Flume service
🧊Why learn Flume?

Developers should learn and use Flume when building data pipelines for real-time log ingestion, especially in Hadoop ecosystems, as it simplifies the collection and transport of log data from multiple sources like web servers, application logs, or social media feeds to centralized storage for analysis. It is particularly valuable in scenarios requiring high-throughput, fault-tolerant data movement, such as monitoring systems, clickstream analysis, or IoT data streams, where traditional batch processing tools are insufficient.

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