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