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A Perusal of Big Data Classification and Hadoop Technology

机译:大数据分类和Hadoop技术的秘诀

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Big Data make conversant with novel technology, skills and processes to your information architecture and the people that operate, design, and utilization them. The big data delineate a holistic information management contrivance that comprise and integrates numerous new types of data and data management together conventional data. The Hadoop is an unlocked source software framework licensed under the Apache Software Foundation, render for supporting data profound applications running on huge grids and clusters, to proffer scalable, credible, and distributed computing. This is invented to scale up from single servers to thousands of machines, every proposition local computation and storage. In this paper, we have endeavored to converse about on the taxonomy for big data and Hadoop technology. Eventually, the big data technologies are necessary in providing more actual analysis, which may leadership to more concrete decision-making consequence in greater operational capacity, cost deficiency, and detect risks for the business. In this paper, we are converse about the taxonomy of the big data and components of Hadoop.
机译:大数据使您的信息体系结构以及操作,设计和利用它们的人员熟悉了新颖的技术,技能和流程。大数据描绘了一种整体的信息管理创新,该创新的创新包括将许多新型数据和数据管理集成到常规数据中并将其集成在一起。 Hadoop是Apache软件基金会(Apache Software Foundation)许可的未锁定源软件框架,用于支持在庞大的网格和集群上运行的数据深度应用程序,以提供可扩展,可靠和分布式的计算。发明这种方法是为了从单个服务器扩展到数千台计算机,每个方案都要求本地计算和存储。在本文中,我们致力于就大数据和Hadoop技术的分类进行讨论。最终,大数据技术对于提供更多实际分析是必不可少的,这可能会导致更具体的决策制定,从而导致更大的运营能力,成本不足并发现业务风险。在本文中,我们对Hadoop的大数据和组件的分类法是相反的。

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