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Educational Open Government Data: From Requirements to End Users

机译:教育性开放政府数据:从需求到最终用户

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The large availability of open government data raises enormous opportunities for open big data analytics. However, providing an end-to-end framework able to handle tasks from data extraction and processing to a web interface involves many challenges. One critical factor is the existence of many players with different knowledge, who need to interact, such as application domain experts, database designers, and web developers. This represents a knowledge gap that is difficult to overcome. In this paper, we present a case study for big data analytics over Brazilian educational data, with more than 1 billion records. We show how we organized the data analytics phase, starting from the analytics requirements, data evolution, development and deployment in a public interface.
机译:开放的政府数据的巨大可用性为开放的大数据分析带来了巨大的机会。但是,提供一种能够处理从数据提取和处理到Web界面的任务的端到端框架涉及许多挑战。一个关键因素是存在许多需要不同知识的需要交互的参与者,例如应用程序领域专家,数据库设计师和Web开发人员。这代表了一个难以克服的知识鸿沟。在本文中,我们针对巴西教育数据进行了大数据分析的案例研究,记录超过10亿条。我们展示了如何组织数据分析阶段,从分析需求,数据演化,公共界面中的开发和部署开始。

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