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Big Data Hadoop Training : Hadoop is a free, Java -based programming framework that supports the processing of large data sets in a distributed computing environment. It is part of the Apache project sponsored by the Apache Software Foundation. Hadoop makes it possible to run applications on systems with thousands of nodes involving thousands of terabytes of storage capacity. Its distributed file system facilitates rapid data transfer rates among nodes and allows the system to continue operating uninterrupted in case of a node failure. This approach lowers the risk of catastrophic system failure, even if a significant number of nodes become inoperative

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Highlights

• Large Volumes of Data: Ability to store and process huge amounts of variety (structure, unstructured and semi structured) of data, quickly. With data volumes and varieties constantly increasing, especially from social media and the Internet of Things (IoT), that’s a key consideration. Computing Power: Hadoop’s distributed computing model processes big data fast. The more computing nodes you use, the more processing power you have. Fault Tolerance: Data and application processing are protected against hardware failure. If a node goes down, jobs are automatically redirected to other nodes to make sure the distributed computing does not fail. Multiple copies of all data are stored automatically.