Big Hadoop is the main framework used for processing and storing big data sets - Big Data. In most cases, when someone talks about Hadoop, they are referring to the Hadoop Distributed File System (HDFS), a distributed file system designed to store very large files and run on low-cost standard hardware. One of its most striking features of HDFS is that it allows applications to work with thousands of clustered nodes. Initially inspired by Map Reduce and Google’s, Apache Hadoop is Open-Source Java-based software maintained by the Apache Foundation. A platform is capable of large-scale storage and processing of big data sets - Big Data, which works on low-cost, fault-tolerant hardware clusters. Some of the reasons for using Hadoop are its “ability to store, manage and analyze large amounts of structured and unstructured data quickly, reliably, flexibly and at low cost. Get Hands-on experience of the technology from the Big Data training institute in Bangalore specialists. Scalabil...
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