pratikshekhar1
Online-Hadoop-Training
Hadoop is an associate open-source framework that enables to store and method huge information in a very distributed environment across clusters of computers using easy programming models. it's designed to proportion from single servers to thousands of machines, every providing native computation.
Hadoop framework includes following four modules:
Hadoop Common: These are Java libraries and utilities needed by different Hadoop modules. These libraries give filesystem and OS level abstractions and contain {the necessary|the needed|the mandatory} Java files and scripts required to start out Hadoop.
Hadoop YARN: this is often a framework for job planning and cluster resource management.
Hadoop Distributed file system (HDFS™): A distributed file system that gives high-throughput access to application information.
Hadoop MapReduce: this is often the YARN-based system for data processing of enormous information sets.
Online-Hadoop-Training
Hadoop is an associate open-source framework that enables to store and method huge information in a very distributed environment across clusters of computers using easy programming models. it's designed to proportion from single servers to thousands of machines, every providing native computation.
Hadoop framework includes following four modules:
Hadoop Common: These are Java libraries and utilities needed by different Hadoop modules. These libraries give filesystem and OS level abstractions and contain {the necessary|the needed|the mandatory} Java files and scripts required to start out Hadoop.
Hadoop YARN: this is often a framework for job planning and cluster resource management.
Hadoop Distributed file system (HDFS™): A distributed file system that gives high-throughput access to application information.
Hadoop MapReduce: this is often the YARN-based system for data processing of enormous information sets.