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Managing Enterprise Data and Providing a Personalized Employee Data Visualization

机译:管理企业数据并提供个性化的员工数据可视化

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摘要

In this Digital world storage area capacity required for an Enterprise is quite huge, and processing that Big Data is one of the major challenging areas in today's information technology. As the heterogeneous data from the various sources grow rapidly, there should be some proficient way for data storage for each enterprise. Most of the Enterprises have a tendency to migrate their data in to servers with high processing capability to handle variety and voluminous data. Major problem that arises in such big data servers of an Enterprise is the process involved in segregating data according to their types. In this research, an efficient methodology is proposed which handles the segregation of data inside a server with multi valued distribution based clustering. These clustering based solutions provide an efficient visualization of varying data in the server and also a separate visualization of employee data too. The paper discusses about the simulation of the clustering technique with respect to an Enterprise and visualization of file storage structure and categorization of data.Keywords- Big Data, Data storage servers, Data Analytics, Clusterization, Visualization.
机译:在这个数字世界中,企业所需的存储容量非常大,处理大数据已成为当今信息技术的主要挑战之一。随着来自各种来源的异构数据的迅速增长,应该为每个企业提供某种熟练的数据存储方式。大多数企业趋向于将其数据迁移到具有高处理能力的服务器中,以处理各种大量数据。在企业的这种大数据服务器中出现的主要问题是根据数据的类型分离数据所涉及的过程。在这项研究中,提出了一种有效的方法,该方法可以处理基于多值分布的集群中服务器内部的数据隔离。这些基于群集的解决方案可以有效地可视化服务器中的各种数据,也可以单独显示员工数据。本文讨论了针对企业的集群技术的仿真以及文件存储结构的可视化和数据分类。关键字:大数据,数据存储服务器,数据分析,集群化,可视化。

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