bigdata flume

Flume is an open-source tool for efficiently collecting, aggregating, and moving large amounts of data from various sources to a centralized store such as HDFS (Hadoop Distributed File System). Flume is a distributed, reliable, and available service that is used to efficiently collect, aggregate, and move large amounts of log data from different sources to a centralized data store in Hadoop.

In the context of big data, Flume can be used to collect data from various sources such as social media, sensor networks, application logs, and web server logs, and store it in Hadoop for processing and analysis. Flume can handle huge amounts of data and can scale horizontally to accommodate more data sources and higher volumes of data.

Flume architecture consists of three main components: the source, the channel, and the sink. The source is responsible for collecting and forwarding data to the channel, which acts as a buffer for the data. The sink then extracts the data from the channel and stores it in Hadoop.

Overall, Flume is an essential tool in the big data ecosystem for efficiently moving and processing large amounts of data.