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Issues in a transactional database emanating from data warehouse project

机译:数据仓库项目产生的事务性数据库中的问题

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When a data warehouse (DW) is built, typical extraction, transformation, and loading operations are made, including cleaning tasks of the data, conflicts resolution, inconsistencies identification, and constrains checking, among others. In this work, two databases (DB) were combined to obtain indexes approved and failing course in basic sciences area (Mathematics, Physics, Chemistry) of the Institute of Technology of San Luis Potosí (ITSLP for their initials in Spanish). The database table intermediate of the transactional database was used to calculate dimensions and fact database tables of one warehouse. Stored data in DW are the input to Data Mining Algorithms and validation information process. This benefit was not expected. At last, the combined database was divided into a transactional database and historical database, to avoid redundancy, inconsistency, incongruity, and other integrity issues and to prepare the historical database to update DW. This DW will be suitable to carry out statistical queries in diverse areas and faculties. The final divisions of mixed database and alternative uses of intermediate tables are some non-awaiting results of original planning of project.
机译:构建数据仓库(DW)时,将进行典型的提取,转换和加载操作,包括数据的清理任务,冲突解决,不一致标识和约束检查等。在这项工作中,两个数据库(DB)组合在一起,以获得圣路易斯波托斯技术学院基础科学领域(数学,物理,化学)认可和失败的指标。 (ITSLP的首字母为西班牙语)。事务数据库的中间数据库表用于计算一个仓库的维度和事实数据库表。 DW中存储的数据是数据挖掘算法和验证信息过程的输入。预期没有这种好处。最后,将合并后的数据库分为事务数据库和历史数据库,以避免冗余,不一致,不一致和其他完整性问题,并准备历史数据库以更新DW。该DW将适合在不同领域和学院进行统计查询。混合数据库的最终划分和中间表的替代用途是项目原始计划的某些未完成的结果。

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