An overview of Hadoop Computing Environment and Its Components
Hadoop, an open-source platform that supports data-intensive distributed computing, is used to store, analyze, and process big data. The Hadoop Distributed File System is used to store and manage large data sets. It also includes the Hadoop YARN, which allows users to run distributed computing applications on a cluster of nodes. There are several library components that allow multiple concurrent applications to be executed. Hadoop provides tools for monitoring and management such as Pig and Hive. Sqoop is also available to manipulate and structure data. Hadoop’s scalability and affordability, along with its ability handle large amounts of data and growing complexity in distributed computing programs, have made it a favorite choice to run applications on clusters of distributed computing servers (Marston, et al. 2015). Hortonworks Data Platform (HDP), which is a new platform that runs Hadoop applications, allows for easy deployment and management of applications (Borthakur and al., 2002). Hadoop is a robust platform for distributed computing, big data processing, and has a range of components that allow users to monitor and manage distributed computing apps in an efficient and cost-effective manner. Cont…
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