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Apache Hadoop MapReduce

The Apache Hadoop MapReduce platform enables distributed data processing across large-scale clusters by dividing workloads into map and reduce tasks, delivering reliable and scalable batch data computation.

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Features
  • Processes massive datasets by splitting tasks across multiple nodes in a Hadoop cluster for parallel execution.
  • Designed to scale from a single server to thousands of machines, each offering local computation and storage.
  • Automatically re-executes failed tasks using data replication across nodes, ensuring reliable processing.
  • Tightly integrated with the Hadoop Distributed File System, enabling efficient data locality during processing.
  • Best suited for large-scale batch jobs, such as log analysis, ETL, and data aggregation tasks.
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Features
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