![]() Hadoop Common – contains libraries and utilities needed by other Hadoop modules.The base Apache Hadoop framework is composed of the following modules: This allows the dataset to be processed faster and more efficiently than it would be in a more conventional supercomputer architecture that relies on a parallel file system where computation and data are distributed via high-speed networking. This approach takes advantage of data locality, where nodes manipulate the data they have access to. ![]() It then transfers packaged code into nodes to process the data in parallel. Hadoop splits files into large blocks and distributes them across nodes in a cluster. ![]() The core of Apache Hadoop consists of a storage part, known as Hadoop Distributed File System (HDFS), and a processing part which is a MapReduce programming model. All the modules in Hadoop are designed with a fundamental assumption that hardware failures are common occurrences and should be automatically handled by the framework. It has since also found use on clusters of higher-end hardware. Hadoop was originally designed for computer clusters built from commodity hardware, which is still the common use. It provides a software framework for distributed storage and processing of big data using the MapReduce programming model. 2.7.7 / May 31, 2018 4 years ago ( ) Ģ.8.5 / September 15, 2018 3 years ago ( ) Ģ.9.2 / November 9, 2018 3 years ago ( ) Ģ.10.1 / September 21, 2020 22 months ago ( ) ģ.1.4 / August 3, 2020 23 months ago ( ) ģ.2.2 / January 9, 2021 18 months ago ( ) ģ.3.1 / June 15, 2021 13 months ago ( ) Īpache Hadoop ( / h ə ˈ d uː p/) is a collection of open-source software utilities that facilitates using a network of many computers to solve problems involving massive amounts of data and computation.
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