TerminusDB Data Modeling and Schema Design
The Align > Refine > Design Series, by Steve Hoberman and industry experts
The Align > Refine > Design series covers conceptual, logical, and physical data modeling (schema design and patterns) for leading technologies, combining proven data modeling practices with database-specific features to produce better applications.
The book’s introduction and three chapters cover the Align, Refine, and Design approach. We include what the level does in the name by rebranding Conceptual, Logical, and Physical into Align, Refine, and Design. The introduction covers the three modeling characteristics of precise, minimal, and visual; the three model components of entities, relationships, and attributes (including keys); the three model levels of conceptual (align), logical (refine), and physical (design); and the three modeling perspectives of relational, dimensional, and query. Chapter 1, Align, is about agreeing on the common business vocabulary so everyone is aligned on terminology and general initiative scope. Chapter 2, Refine, is about capturing the business requirements. That is, refining our knowledge of the initiative to focus on what is essential. Chapter 3, Design, is about the technical requirements. That is, designing to accommodate our model’s unique software and hardware needs.
Align, Refine, and Design—that’s the approach followed in this book and reinforced through an animal shelter case study.
If you are interested in learning how to build multiple database solutions, read all the books in the Align > Refine > Design series. Since each book uses the same template, you can quickly skill up on additional database technologies.
soon to be released
About the authors
Steve Hoberman has been a data modeler for over 30 years, and thousands have completed his Data Modeling Master Class. He is the author of nine books on data modeling, including Data Modeling Made Simple. Donny Winston is an independent research data engineer working to make research organizations more effective by shifting data management practices from lumpy, bibliographic models to more fine-grained, query-oriented models through designing and deploying FAIR digital objects and services. He is the owner and principal of Polyneme LLC, a co-founder of the FAIR Points event series, and host of the Machine-Centric Science podcast.
About the authors
Steve Hoberman has been a data modeler for over 30 years, and thousands have completed his Data Modeling Master Class. He is the author of nine books on data modeling, including Data Modeling Made Simple. Rafid entered the Data Modeling space at the young age of 22, after completing his undergraduate degree in Biology and Mathematics from the University of Ottawa. In July 2020, he became the 10th person worldwide and first Canadian to enter the Data Modeling Institute’s DMC Hall of Fame. He has experience creating and expanding standardized financial data models and data delivery mechanisms using various modeling techniques.
About the authors
Steve Hoberman has been a data modeler for over 30 years, and thousands have completed his Data Modeling Master Class. He is the author of nine books on data modeling, including Data Modeling Made Simple. David Fauth is a Senior Field Engineer at Neo4j. He has expertise in Neo4j scalability, system architecture, geospatial, streaming data and security. He is currently focusing on solving large data volume challenges using Neo4j.
About the authors
Daniel Coupal is a Staff Engineer at MongoDB. He built the Data Modeling class for MongoDB University. Pascal Desmarets is the founder and CEO of Hackolade, a data modeling tool for NoSQL databases, storage formats, REST APIs, and JSON in RDBMS. He is a pioneer in Polyglot Data Modeling. Steve Hoberman has been a data modeler for over 30 years, and thousands have completed his Data Modeling Master Class. He is the author of nine books on data modeling, including Data Modeling Made Simple.
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