《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...
初看目录及导语,我认为《Data Modeling and Schema Design》(数据建模及模型设计)是每一位文档型数据库从业者必读的书,没有之一。 文档型数据库是NoSQL的一个总要分支,MongoDB以及我所在的巨杉数据库SequoiaDB都是JSON文档型数据库。本书讲解JSON的数据建模及模型设计,可谓是开山之作。 文档型数据库常常被贴上“...
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...
Data modeling (data modelling)is the process of creating a data model for the data to be stored in a database. This data model is a conceptual representation of Data objects, the associations between different data objects, and the rules. Data modeling helps in the visual representation of da...
A data vault is a data modeling approach and methodology used in enterprise data warehousing to handle complex and varying data structures. It combines the strengths of 3rd normal form and star schema. This hybrid approach provides a flexible, agile, and scalable solution for integrating and manag...
Ease and speed the process of database design at the conceptual, logical and physical levels. Data modeling tools Numerous commercial and open source computer-aided software engineering (CASE) solutions are widely used today, including multiple data modeling, diagramming and visualization tools. Here ...
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...
The three levels of data modeling, conceptual data model, logical data model, and physical data model, were discussed in prior sections. Here we compare these three types of data models. The table below compares the different features: Feature...
Data modeling foundations Data modeling building blocks Data modeling schema design packages Relational modeling First steps Example Migrating to DynamoDB NoSQL Workbench Backup and restore Code examples Security Monitoring and logging Best practices Using DynamoDB with other AWS services Using generative AI...
an important part of the design is the data structure. You should consider how the data is used in one specific app or screen, in addition to how others use the data. Referring to your personas, tasks, business process, and goals helps you define what data to store and how to structure...