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Data science Hadoop | SNS Institutions | Lecture video
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Hadoop is an open-source framework used for storing and processing large amounts of data in a distributed computing environment. It was developed by the Apache Software Foundation to handle big data efficiently across clusters of computers. Hadoop works on the principle of distributed storage and parallel processing, which means data is split into smaller blocks and stored across multiple machines, and tasks are processed simultaneously. It mainly consists of two core components: HDFS (Hadoop Distributed File System) for storage and MapReduce for processing data. Hadoop is scalable, cost-effective, and fault-tolerant, making it widely used in big data analytics, data mining, and large-scale data processing applications.
Видео Data science Hadoop | SNS Institutions | Lecture video канала K Amuthan
#snsdesignthinkers
#designthinking
Hadoop is an open-source framework used for storing and processing large amounts of data in a distributed computing environment. It was developed by the Apache Software Foundation to handle big data efficiently across clusters of computers. Hadoop works on the principle of distributed storage and parallel processing, which means data is split into smaller blocks and stored across multiple machines, and tasks are processed simultaneously. It mainly consists of two core components: HDFS (Hadoop Distributed File System) for storage and MapReduce for processing data. Hadoop is scalable, cost-effective, and fault-tolerant, making it widely used in big data analytics, data mining, and large-scale data processing applications.
Видео Data science Hadoop | SNS Institutions | Lecture video канала K Amuthan
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