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Apache Hadoop Training India | Learn anything under Big Data & Cloud – Talk to our Big Data Expert Team
Hadoop is an Apache-licensed open source system modeled after Google’s MapReduce and Google File System (GFS) systems. Hadoop was created by Doug Cutting, who now works as an architect at Cloudera and serves as chair of the Apache Software Foundation. He named Hadoop after his son’s yellow stuffed toy elephant.
With Hadoop, you can grow the size of your filesystem by adding more machines to your cluster. This feature allows you to grow storage incrementally, regardless of whether you need terabytes or petabytes of space. Hadoop also ensures your data is safe by automatically replicating your data to multiple machines. You could remove a machine from your cluster and take it out to a grassy field with a baseball bat to reenact the printer scene from Office Space—and not lose a single byte of data.Hadoop Training India | BigData Developer / Consultant/ Architect / Admin Training Programs with placements!
The Hadoop Distributed File System is a versatile, resilient, clustered approach to managing files in a big data environment. HDFS is not the final destination for files. Rather, it is a data service that offers a unique set of capabilities needed when data volumes and velocity are high. Because the data is written once and then read many times thereafter, rather than the constant read-writes of other file systems, HDFS is an excellent choice for supporting big data analysis. The service includes a “NameNode” and multiple “data nodes” running on a commodity hardware cluster and provides the highest levels of performance when the entire cluster is in the same physical rack in the data center.Hadoop Big Data FastTrack Training Weekdays ( 5 Days)
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