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Educational Open Government Data: From Requirements to End Users

机译:教育开放政府数据:从要求到最终用户

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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:开放式政府数据的巨大可用性提高了开放大数据分析的巨大机会。然而,提供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。一个关键因素是许多具有不同知识的玩家的存在,我们需要互动,例如应用程序域专家,数据库设计师和Web开发人员。这代表了难以克服的知识差距。在本文中,我们为巴西教育数据的大数据分析提供了一个案例研究,具有超过10亿条记录。我们展示了我们如何组织数据分析阶段,从分析要求,数据演进,开发和部署中的公共界面开始。

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