How does Apache Flume facilitate building data pipelines in Hadoop?
- It enables the orchestration of MapReduce jobs
- It is a data ingestion tool for efficiently collecting, aggregating, and moving large amounts of log data
- It is a machine learning library for Hadoop
- It provides a distributed storage system
Apache Flume facilitates building data pipelines in Hadoop by serving as a reliable and scalable data ingestion tool. It efficiently collects, aggregates, and moves large amounts of log data from various sources to Hadoop storage, making it a valuable component in data pipeline construction.
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