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Star Schema The Complete Reference读书介绍

类别 页数 译者 网友评分 年代 出版社
书籍 510页 2020 McGraw-Hill Osborne Media
定价 出版日期 最近访问 访问指数
USD 59.99 2020-02-20 … 2020-05-27 … 45
主题/类型/题材/标签
数据仓库,数据分析,计算机科学,数据存储设计,BI,
作者
Christopher Adamson      ISBN:9780071744324    原作名/别名:《》
内容和作者简介
Star Schema The Complete Reference摘要

This is the definitive guide to dimensional design for your data warehouse. Learn the best practices of dimensional design. "Star Schema: The Complete Reference" offers in-depth coverage of design principles and their underlying rationales. Organized around design concepts and illustrated with detailed examples, this is a step-by-step guidebook for beginners and a comprehensive...

作者简介

This is the definitive guide to dimensional design for your data warehouse. Learn the best practices of dimensional design. "Star Schema: The Complete Reference" offers in-depth coverage of design principles and their underlying rationales. Organized around design concepts and illustrated with detailed examples, this is a step-by-step guidebook for beginners and a comprehensive resource for experts. This all-inclusive volume begins with dimensional design fundamentals and shows how they fit into diverse data warehouse architectures, including those of W.H. Inmon and Ralph Kimball. The book progresses through a series of advanced techniques that help you address real-world complexity, maximize performance, and adapt to the requirements of BI and ETL software products. You are furnished with design tasks and deliverables that can be incorporated into any project, regardless of architecture or methodology. Master the fundamentals of star schema design and slow change processing. Identify situations that call for multiple stars or cubes. Ensure compatibility across subject areas as your data warehouse grows. Accommodate repeating attributes, recursive hierarchies, and poor data quality. Support conflicting requirements for historic data. Handle variation within a business process and correlation of disparate activities. Boost performance using derived schemas and aggregates. Learn when it's appropriate to adjust designs for BI and ETL tools.

本书后续版本
未发行或暂未收录
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