Educational Data Mining (EDM) is a method to support learning and teaching processes. Educational Intelligence (EI) is not wide spreading like a business Intelligence (BI). Data Warehouse (DW) technology aims to collect historical data from different kinds of Database (DB) and unifies them under single schema by using the most powerful tool as OLAP which helps the decision maker to make a right decision. Educational Intelligence system combines Educational records of students from two different sources in a single DW. The inputs of educational data warehouse can be in any format (such as reports...). Since the quantities are huge, they are almost meaningless, on the other hand the outputs mainly consist of reports and flowcharts and KPIs with meaning and effective factor for decision maker. The proposed DW is implemented based on two simulated databases of Computer Science Department in the College of Science, University of Basra for the last ten years and AL_IRAQ University for the last 4 years implemented by SQL Server 2014 and SQL Server Data Tool (SSDT) 2012.
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机译：教育数据挖掘（EDM）是一种支持学与教过程的方法。教育智能（EI）没有像商业智能（BI）那样广泛传播。数据仓库（DW）技术旨在从不同种类的数据库（DB）中收集历史数据，并通过使用功能最强大的工具OLAP来统一单一模式下的历史数据，从而帮助决策者做出正确的决策。教育情报系统将来自两个不同来源的学生的教育记录合并到一个DW中。教育数据仓库的输入可以采用任何格式（例如报告...）。由于数量巨大，因此几乎没有意义，另一方面，输出主要包括报告和流程图以及对决策者有意义和有效的因素的KPI。拟议的DW基于最近十年由巴士拉大学理学院计算机科学系和AL_IRAQ大学的两个模拟数据库实施，该数据库由SQL Server 2014和SQL Server Data Tool（SSDT）2012实施。
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