The role of tools in development of a data warehouse

M. C. McCabe, D. Grossman
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引用次数: 5

Abstract

We discuss the tools required for building a data warehouse. We describe key features of each tool. Software tools for data warehousing include data modeling, database management systems, data extraction and migration, data validation, metadata, and job schedulers. We also describe project management methods we have developed for building a data warehouse. Specific tailoring of traditional software development methodology for data warehouse projects is proposed including dependent work break down structures and a method of estimation and prioritization. Throughout the paper, we present our experience of a 25 gigabyte data warehouse project which has accomplished an initial delivery to over 400 users.
工具在数据仓库开发中的作用
我们将讨论构建数据仓库所需的工具。我们描述了每个工具的关键特性。用于数据仓库的软件工具包括数据建模、数据库管理系统、数据提取和迁移、数据验证、元数据和作业调度器。我们还描述了为构建数据仓库而开发的项目管理方法。提出了对数据仓库项目的传统软件开发方法的具体剪裁,包括依赖的工作分解结构和估计和优先级的方法。在整篇文章中,我们介绍了一个25gb数据仓库项目的经验,该项目已经完成了向400多个用户的初始交付。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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