Technics Publications, 2016. — 260 p. — ISBN: 978-1634621120.

How do we design for data when traditional design techniques cannot extend to new database technologies? In this era of big data and the Internet of Things, it is essential that we have the tools we need to understand the data coming to us faster than ever before, and to design databases and data processing systems that can adapt easily to ever-changing data schemas and ever-changing business requirements. There must be no intellectual disconnect between data and the software that manages it. It must be possible to extract meaning and knowledge from data to drive artificial intelligence applications. Novel NoSQL data organization techniques must be used side-by-side with traditional SQL databases. Are existing data modeling techniques ready for all of this?The Concept and Object Modeling Notation (COMN) is able to cover the full spectrum of analysis and design. A single COMN model can represent the objects and concepts in the problem space, logical data design, and concrete NoSQL and SQL document, key-value, columnar, and relational database implementations. COMN models enable an unprecedented level of traceability of requirements to implementation. COMN models can also represent the static structure of software and the predicates that represent the patterns of meaning in databases.This book will teach you:

the simple and familiar graphical notation of COMN with its three basic shapes and four line styles how to think about objects, concepts, types, and classes in the real world, using the ordinary meanings of English words that aren’t tangled with confused techno-speak how to express logical data designs that are freer from implementation considerations than is possible in any other notation how to understand key-value, document, columnar, and table-oriented database designs in logical and physical terms how to use COMN to specify physical database implementations in any NoSQL or SQL database with the precision necessary for model-driven development

Technics Publications, 2016. - 260页 - ISBN: 978-1634621120.

当传统的设计技术不能扩展到新的数据库技术时，我们如何为数据设计？在这个大数据和物联网的时代，我们必须有必要的工具来理解比以往任何时候都要快的数据，并设计出能够轻松适应不断变化的数据模式和不断变化的业务需求的数据库和数据处理系统。在数据和管理数据的软件之间必须没有知识上的断层。必须能够从数据中提取意义和知识来驱动人工智能应用。新颖的NoSQL数据组织技术必须与传统的SQL数据库并排使用。现有的数据建模技术是否已经准备好应对这一切？概念和对象建模符号（COMN）能够涵盖分析和设计的全部范围。一个单一的COMN模型可以代表问题空间中的对象和概念、逻辑数据设计以及具体的NoSQL和SQL文档、键值、列式和关系型数据库实现。COMN模型使需求到实现的可追溯性达到了一个前所未有的水平。COMN模型还可以表示软件的静态结构和表示数据库中意义模式的谓词。本书将教你。

简单而熟悉的COMN图形符号，包括三种基本形状和四种线条风格 如何在现实世界中思考对象、概念、类型和类，使用不被混乱的技术术语纠缠的英语单词的普通含义 如何表达逻辑数据设计，这些设计比任何其他符号都更能摆脱实施方面的考虑 如何在逻辑和物理方面理解键值、文档、列和面向表的数据库设计 如何使用COMN在任何NoSQL或SQL数据库中以模型驱动开发所需的精度指定物理数据库实现