《Data Modeling and Schema Design》这本书在详细介绍NoSQL的各种建模方法之前,先用了一个章节给我们讲解通用数据建模的基本知识。因此,即使作为程序开发者或DBA的你,已经陷入日常工作,忘却了数据建模的重要性,又或是过去没有系统性学习过数据建模,也可以从本书直接学习到完整的知识。 数据模型的概念名词: 一本好...
而一致被认为是“无数据结构”的JSON,也已经有了模型定义的标准,JSON Schema(json-schema.org/)定义了JSON文档的结构,可以轻松确保其格式正确。 JSON灵活性的总要提现:多态性(Polymorphism) 同一个字段的不同数据类型。注意以下Position在同一个文档的不同子文档中,可以是整形,也可以是字符型。 { "Results": [...
Data modeling is the foundation of information systems development—if you don't get the database design “right” then the systems you build will be like a house of cards, collapsing under the weight of inevitable future forces for revision, enhancement, integration, and quality improvement. Thu...
FAQ on NoSQL data modeling How is data stored in NoSQL? NoSQL covers four main types of database design, so the details of each type will be different. What they have in common is that the physical storage will be distributed and horizontally partitioned. Does NoSQL have a schema? No...
This chapter focuses on the database life-cycle step that is of particular interest when designing relational databases: transformation of the conceptual data model to candidate tables and their definition in SQL. There is a natural evolution from the entity-relationship (ER) and unified modeling ...
Data modeling organizes and simplifies your data in a way that makes it easy to understand, manage, and query, while also ensuring data integrity and consistency. Data models inform your data architecture, database design, and restructuring legacy systems....
We would design these layers from the top-down approach discussed above and decide the data modeling technique for each layer depending on requirements. Let’s have a detailed look at each layer, as these are fundamental for every data architecture project, and they will help us understand why...
9.1 Modeling Interface 9.2 Additional Modeling Tools 9.3 Modeling Tutorials 9.4 Forward and Reverse Engineering 9.5 Schema Synchronization and Comparison 9.6 Table Templates 9.7 Customizing DBDoc Model Reporting Templates Modeling simplifies database design and maintenance by enabling you, the data architect,...
and query, while also ensuring data integrity and consistency. Data models inform your data architecture, database design, and restructuring legacy systems. Why is it Important? Data modeling defines how your data will be organized, stored, retrieved, and presented. In this way, it supports busin...
Dimensional data modeling can result in a design called a star schema, which has denormalized tables, and it is used for building reporting and analytical systems. Dimensional models are designed to be great at getting data out of a data warehouse and into the hands of business users. By stor...