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Visualization as a Mean of Big Data Management: Using Qatar's Electricity Consumption Data

机译:可视化作为大数据管理的一种手段:使用卡塔尔的用电量数据

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摘要

Visualization as a mean of big data management is the new century revolution. Managing data has become a great challenge today, as the amount of raw data size is increasing rapidly. For data like electricity consumption, a new data value is received every minute from different areas. This creates the well-known five challenges for any data analyst trying to deliver a visual representation of such huge raw data. Adding to that, a data analyst should understand the four dimensions of the given data; Volume, variety, velocity and veracity. The integration of big data and visualization is the key to addressing real market significant shift in enterprise technology. The aim of the paper is to give an insight of ‘how to manage’ Qatars electricity consumption from raw data provided by electricity companies. This can lead to a much better visualization solution as analysts and top-level managers can understand how to act towards their resources and plan.
机译:作为大数据管理手段的可视化是新世纪的革命。随着原始数据量的迅速增加,管理数据已成为当今的巨大挑战。对于电力消耗等数据,每分钟都会从不同区域接收一个新的数据值。对于任何试图以可视方式表示如此庞大的原始数据的数据分析人员来说,这都会带来众所周知的五个挑战。除此之外,数据分析师还应该了解给定数据的四个方面。数量,种类,速度和准确性。大数据和可视化的集成是解决实际市场中企业技术重大变化的关键。本文的目的是从电力公司提供的原始数据中深入了解“如何管理”卡塔尔电力消耗。由于分析师和高层管理人员可以了解如何对他们的资源和计划采取行动,因此这可以带来更好的可视化解决方案。

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