Developing High Quality Data Models (Paperback)

A multitude of problems is likely to arise when developing data models. With dozens of attributes and millions of rows, data modelers are always in danger of inconsistency and inaccuracy. The development of the data model itself could result in difficulties presenting accurate data. The need to improve data models begins with getting it right in the first place.

Using real-world examples, Developing High Quality Data Models walks the reader through identifying a number of data modeling principles and analysis techniques that enable the development of data models that both meet business requirements and have a consistent basis. The reader is presented with a variety of generic data model patterns that both exemplify the principles and techniques discussed and build upon one another to give a powerful and integrated generic data model. This model has wide applicability across many disciplines in government and industry, including but not limited to energy exploration, healthcare, telecommunications, transportation, military defense, transportation, and more.

* Uses a number of common data model patterns to explain how to develop data models over a wide scope in a way that is consistent and of high quality

*Offers generic data model templates that are reusable in many applications and are fundamental for developing more specific templates

*Develops ideas for creating consistent approaches to high quality data models

在開發數據模型時，可能會出現許多問題。由於屬性眾多且數據行數量龐大，數據建模者經常面臨不一致和不準確的風險。數據模型本身的開發可能導致呈現不準確的數據。改進數據模型的需求始於一開始就做對。

《開發高質量數據模型》通過使用現實世界的例子，引導讀者識別一些數據建模原則和分析技術，以實現既滿足業務需求又具有一致基礎的數據模型的開發。讀者將獲得多種通用數據模型模式，這些模式既展示了所討論的原則和技術，又相互構建，形成一個強大且統一的通用數據模型。該模型在政府和工業等多個領域具有廣泛的應用，包括但不限於能源勘探、醫療保健、電信、交通運輸、軍事防禦等。

該書的特點包括：
- 使用多種常見數據模型模式來解釋如何以一致且高質量的方式開發廣泛範圍的數據模型
- 提供可在多個應用中重複使用且對於開發更具體模板至關重要的通用數據模型模板
- 提出創建一致方法以實現高質量數據模型的想法