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A requirement-driven approach to the design and evolution of data warehouses

机译：一种需求驱动的数据仓库设计和演进方法

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Designing data warehouse (DW) systems in highly dynamic enterprise environments is not an easy task. At each moment, the multidimensional (MD) schema needs to satisfy the set of information requirements posed by the business users. At the same time, the diversity and heterogeneity of the data sources need to be considered in order to properly retrieve needed data. Frequent arrival of new business needs requires that the system is adaptable to changes. To cope with such an inevitable complexity (both at the beginning of the design process and when potential evolution events occur), in this paper we present a semi-automatic method called ORE, for creating DW designs in an iterative fashion based on a given set of information requirements. Requirements are first considered separately. For each requirement, ORE expects the set of possible MD interpretations of the source data needed for that requirement (in a form similar to an MD schema). Incrementally, ORE builds the unified MD schema that satisfies the entire set of requirements and meet some predefined quality objectives. We have implemented ORE and performed a number of experiments to study our approach. We have also conducted a limited-scale case study to investigate its usefulness to designers.
机译：在高度动态的企业环境中设计数据仓库（DW）系统并非易事。在每个时刻，多维（MD）模式都需要满足业务用户提出的一组信息要求。同时，为了适当地检索所需的数据，需要考虑数据源的多样性和异构性。新业务需求的频繁出现要求系统适应变化。为了应对这种不可避免的复杂性（在设计过程的开始以及潜在的演化事件发生时），在本文中，我们提出了一种称为ORE的半自动方法，用于基于给定集合以迭代方式创建DW设计。信息需求。首先将需求分开考虑。对于每个需求，ORE期望该需求所需的源数据的一组可能的MD解释（以类似于MD模式的形式）。增量地，ORE建立满足整个需求集并满足一些预定义质量目标的统一MD模式。我们已经实施了ORE，并进行了许多实验来研究我们的方法。我们还进行了一个有限规模的案例研究，以研究其对设计师的有用性。

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