Question

Describe the architecture of the Hadoop ecosystem. Explain the role of HDFS, YARN, and MapReduce in handling large-scale data processing.

30 Jul 2026
Answer :
Word Count : 481
The Hadoop ecosystem is a distributed computing framework designed to store and process large-scale data across clusters of commodity hardware. Its architecture follows a master-slave model and is built to achieve scalability, fault tolerance, and high throughput. The core components of this architecture include Hadoop Distributed File System (HDFS), Yet Another Resource Negotiator (YARN), and the MapReduce processing model, supported by various auxiliary tools for data ingestion, storage, and analytics. HDFS forms the storage layer of the Hadoop ecosystem and is responsible for handling vast amounts of structured and unstructured data. It breaks large files into smaller blocks, typically 128 MB or 256 MB in size, and distributes them across multiple
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