BigData - Hadoop Training Chennai @ BigDataTraining.IN

Hadoop Training in India !

HDFS is a file system that is designed for use for MapReduce jobs that read input in large chunks of input, process it, and write potentially large chunks of output. HDFS does not handle random access particularly well. For reliability, file data is simply mirrored to multiple storage nodes. This is referred to as replication in the Hadoop community. As long as at least one replica of a data chunk is available, the consumer of that data will not know of storage server failures.

HDFS services are provided by two processes:

NameNode handles management of the file system metadata, and provides management and control services.

DataNode provides block storage and retrieval services.

There will be one NameNode process in an HDFS file system, and this is a single point of failure. Hadoop Core provides recovery and automatic backup of the NameNode, but no hot failover services. There will be multiple DataNode processes within the cluster, with typically one DataNode process per storage node in a cluster.

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Key Features :

* Practice on production level Cloud Servers
* Primary focus - hands-on sessions
* Real time Task Assignment - POC / our Big Data Analytics Platform

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