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What is Apache Hadoop?

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**Apache Hadoop** is an open-source framework designed for distributed storage and processing of large datasets across clusters of computers using simple programming models. It is designed to scale from a single server to thousands of machines, each offering local computation and storage. ### Key...
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**Apache Hadoop** is an open-source framework designed for distributed storage and processing of large datasets across clusters of computers using simple programming models. It is designed to scale from a single server to thousands of machines, each offering local computation and storage. ### Key Components: 1. **Hadoop Distributed File System (HDFS)**: A distributed file system that stores data across multiple machines, providing high throughput access to application data. 2. **MapReduce**: A programming model for processing large datasets in parallel by dividing the work into smaller tasks that can be executed across the cluster. 3. **YARN (Yet Another Resource Negotiator)**: A resource management layer that handles scheduling and resource allocation across various applications running in the Hadoop ecosystem. ### Features: - **Scalability**: Can handle petabytes of data by adding more nodes to the cluster. - **Fault Tolerance**: Automatically replicates data across multiple nodes to ensure reliability and availability. - **Cost-Effectiveness**: Utilizes commodity hardware to reduce storage costs. ### Use Cases: Apache Hadoop is widely used for big data analytics, data warehousing, log processing, machine learning, and any application requiring storage and processing of large volumes of data. read less
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Apache Hadoop is an open-source framework designed for storing and processing large datasets in a distributed computing environment. It consists of three core components: HDFS (Hadoop Distributed File System) for scalable storage, YARN (Yet Another Resource Negotiator) for resource management, and MapReduce...
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Apache Hadoop is an open-source framework designed for storing and processing large datasets in a distributed computing environment. It consists of three core components: HDFS (Hadoop Distributed File System) for scalable storage, YARN (Yet Another Resource Negotiator) for resource management, and MapReduce for parallel data processing.

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Apache Hadoop is an open-source framework designed for storing and processing large datasets in a distributed computing environment. It consists of three core components: HDFS (Hadoop Distributed File System) for scalable storage, YARN (Yet Another Resource Negotiator) for resource management, and MapReduce...
read more
Apache Hadoop is an open-source framework designed for storing and processing large datasets in a distributed computing environment. It consists of three core components: HDFS (Hadoop Distributed File System) for scalable storage, YARN (Yet Another Resource Negotiator) for resource management, and MapReduce for parallel data processing. read less
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