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Apache Hadoop

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Apache Hadoop Features

  • icon_check Application Master Manages lifecycle of each application in YARN, handling execution and task progress reporting.
  • icon_check Block Management Files split into fixed-size blocks, replicated across nodes for fault tolerance and distributed storage.
  • icon_check Replication Control HDFS automatically replicates blocks, ensuring data availability even after node or disk failures.
  • icon_check MapReduce Processing A parallel computation framework that divides workloads into map and reduce tasks across nodes.
  • icon_check Data Locality Moves computation close to stored data, minimizing network I/O and optimizing cluster performance.
  • icon_check Resource Management Centralized resource manager schedules and allocates cluster resources dynamically.
  • icon_check Fault Tolerance Maintains service reliability by replicating data blocks and reassigning failed tasks to healthy nodes.
  • icon_check Streaming Data Access Optimized for batch streaming read-write operations instead of random or low-latency requests.
  • icon_check Web Based Monitoring Built-in web interfaces for NameNode and DataNode provide cluster and storage insights.
  • icon_check Third Party Integration Integrates with Kerberos protocol to secure communication and authenticate Hadoop services.
  • icon_check Secondary NameNode Periodically merges namespace edits with fsimage, helping manage metadata efficiently.
  • icon_check Erasure Coding Hadoop 3 feature that improves storage efficiency while maintaining fault tolerance using coding.

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