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Nifty with Data: Can a Business Intelligence Analysis Sourced from Open Data form a Nifty Assignment?

机译:漂亮数据:可以从开放数据中源于开放数据的商业智能分析吗?

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This paper describes an assignment investigating the relationship between weather conditions and levels of air pollution. The case study illustrates aspects of finding and accessing Open Data, sections of the Extract-Transform-Load processes of data warehousing, building an analytic cube, and application of data mining tools. It is intended to aid tutors and students of databases by providing a study that gives a practical case example that gives an overview of how several topics in the area of data collection and analysis integrate together. As well as being an interesting assignment in its own right, the case study raises a number of questions about what makes a good assignment for students learning to handle data (some of the usual nifty criteria have to be adapted), and about the use of Open Data in student assignments.
机译:本文介绍了调查天气条件与空气污染水平之间关系的作用。案例研究说明了查找和访问开放数据的方面,数据仓库的提取变换负载过程的部分,构建分析立方体以及数据挖掘工具的应用。它旨在通过提供一个实际案例示例的研究援助数据库的辅导员和学生,其中概述了数据收集区域中的几个主题和分析集成在一起的概述。以及在自己的权利中成为一个有趣的作业,案例研究提出了一些关于为学习学习处理数据的好分配的问题的问题(一些通常的漂亮标准必须适应),以及使用在学生作业中打开数据。

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