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What is Hadoop?

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Hadoop is an open-source framework that enables the distributed storage and processing of large datasets across clusters of computers using simple programming models. It includes components like HDFS for storage, YARN for resource management, and MapReduce for data processing.
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Hadoop is an open-source framework used for storing and processing large datasets in a distributed computing environment. It enables organizations to handle big data efficiently by using a cluster of computers. Key components of Hadoop include: 1. **Hadoop Distributed File System (HDFS)**: A scalable...
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Hadoop is an open-source framework used for storing and processing large datasets in a distributed computing environment. It enables organizations to handle big data efficiently by using a cluster of computers. Key components of Hadoop include: 1. **Hadoop Distributed File System (HDFS)**: A scalable and fault-tolerant file system for storing data across multiple machines. 2. **MapReduce**: A programming model for processing large datasets in parallel across a Hadoop cluster, dividing tasks into smaller, manageable chunks. 3. **YARN (Yet Another Resource Negotiator)**: Manages and schedules resources in the Hadoop ecosystem, allowing multiple applications to run concurrently. ### Key Features: - **Scalability**: Can easily scale to accommodate increasing data volumes. - **Fault Tolerance**: Data is replicated across nodes, ensuring availability in case of hardware failures. - **Cost-Effectiveness**: Uses commodity hardware to store and process data. ### Use Cases: Hadoop is commonly used for data warehousing, big data analytics, machine learning, log processing, and data archiving across various industries. read less
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Hadoop is an open-source framework that enables the distributed storage and processing of large datasets across clusters of computers using simple programming models. It includes components like HDFS for storage, YARN for resource management, and MapReduce for data processing.
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