Apache Hadoop Pricing & Plans

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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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