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DataFlair's takes you through various concepts of Hadoop:This Hadoop tutorial PPT covers: 1. Introduction to Hadoop 2. What is Hadoop 3. Hadoop History 4. Why Hadoop 5. Hadoop Nodes 6. Hadoop Architecture 7. Hadoop data flow 8. Hadoop components – HDFS, MapReduce, Yarn 9. Hadoop Daemons 10. Hadoop characteristics & features Related Blogs: Hadoop Introduction – A Comprehensive Guide: https://goo.gl/QadBS4 Wish to Learn Hadoop & Carve your career in Big Data, Contact us: info@data-flair.training +91-7718877477

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Hadoop is an open-source structure which permits the client to store and process the enormous information in a conveyed situation over the groups of PCs by utilizing basic programming models. It is fundamentally intended to scale up from one single server to a great many machines, and every machine offers nearby calculation and capacity.

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Hadoop's Distributed File System is designed to reliably store very large files across machines in a large cluster. It is inspired by the Google File System. Hadoop DFS stores each file as a sequence of blocks, all blocks in a file except the last block are the same size.

Hadoop is an open source framework that uses Java programming. Hadoop is primarily used to process and store the large set of data in a distributing computing environment.

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