Patterns of Data Modeling (Paperback)

Best-selling author and database expert with more than 25 years of experience modeling application and enterprise data, Dr. Michael Blaha provides tried and tested data model patterns, to help readers avoid common modeling mistakes and unnecessary frustration on their way to building effective data models. Unlike the typical methodology book, Patterns of Data Modeling provides advanced techniques for those who have mastered the basics.

Recognizing that database representation sets the path for software, determines its flexibility, affects its quality, and influences whether it succeeds or fails, the text focuses on databases rather than programming. It is one of the first books to apply the popular patterns perspective to database systems and data models. It offers practical advice on the core aspects of applications and provides authoritative coverage of mathematical templates, antipatterns, archetypes, identity, canonical models, and relational database design.

賣座作家和資料庫專家Dr. Michael Blaha擁有超過25年的應用程式和企業資料建模經驗，他提供了經過驗證的資料模型範式，幫助讀者避免常見的建模錯誤，並在構建有效的資料模型過程中減少不必要的挫折感。《資料建模範式》不同於一般的方法論書籍，它提供了進階技巧，適用於已掌握基礎知識的讀者。

本書認識到資料庫的表示方式決定了軟體的發展方向，影響其靈活性、品質以及成功與否，因此專注於資料庫而非程式設計。這是首批將流行的範式觀點應用於資料庫系統和資料模型的書籍之一。它提供了關於應用程式核心方面的實用建議，並提供了數學模板、反範式、原型、身份、標準模型和關聯式資料庫設計的權威性覆蓋。