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Understanding Hadoop Framework Through Single-Node Cluster Installation

机译:通过单节点群集安装了解Hadoop框架

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Hadoop is a Java-based open source programming model that becomes a pillar in recent distributed computing by providing massive storage and multiprocessing of data. Hadoop becomes a simple and easy to implement programming model through the usage of commodity hardware. Hadoop open-source became a foundation for massive parallel processing of big data which includes scientific analytics, e-commerce data and sales planning, and processing enormous volumes of sensor from various sensors. Since Hadoop plays vital role in distributed parallel processing of big data, it is good to know the technical details behind the hadoop framework. This paper focus on detailing the necessary steps for the successful implementation of a Hadoop single-node cluster in a individual computer which provide a foundation for the new hadoop users.
机译:Hadoop是基于Java的开源编程模型,通过提供海量数据存储和多处理功能,它成为最近的分布式计算的支柱。通过使用商品硬件,Hadoop成为一种简单且易于实现的编程模型。 Hadoop开源成为大规模并行处理大数据的基础,包括科学分析,电子商务数据和销售计划,以及处理来自各种传感器的大量传感器。由于Hadoop在大数据的分布式并行处理中起着至关重要的作用,因此最好了解hadoop框架背后的技术细节。本文着重详细介绍了在单个计算机中成功实施Hadoop单节点集群的必要步骤,这些步骤为新的hadoop用户提供了基础。

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