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Asked by Gerda Last Modified
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Hadoop architecture consists of the following key components:
1. **Hadoop Distributed File System (HDFS)**: A distributed storage system that divides data into blocks and stores them across a cluster of nodes, providing high availability and fault tolerance.
2. **YARN (Yet Another Resource Negotiator)**: A resource management layer that allocates system resources to various applications running on the cluster and manages task scheduling.
3. **MapReduce**: A programming model used for processing large data sets in parallel across a Hadoop cluster. It consists of two main tasks—Map (filtering and sorting) and Reduce (summarizing results).
4. **Hadoop Common**: Core utilities and libraries that support the other Hadoop modules, ensuring smooth data input/output and configuration management.
The architecture is designed for scalable, distributed data storage and processing, making it suitable for big data applications.
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