MarkLogic Data Modeling and Schema Design

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.

Read MarkLogic Data Modeling and Schema Design if you are a data professional who needs to expand your modeling skills to include MarkLogic or a technologist who knows MarkLogic but needs to grow your schema design skills.

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.

Sandy Davis is an Enterprise Data Architect at a major Class 1 railroad in the United States. Sandy has been working with Relational (SQL) and NoSQL databases in the roles of developer, database administrator, and data modeler/designer since 1989. Sandy has been leading the deployment and adoption of MarkLogic since 2018. Several mission-critical railroad operational applications use MarkLogic.

Biju George is a seasoned professional with over 25 years of progressive experience catering to the critical technology needs of enterprise customers across various industries such as insurance, healthcare, finance, and logistics. As a Sales and Solutions Engineer, Biju specializes in working with large enterprises, leveraging his expertise to resolve complex data problems using MarkLogic, the leading enterprise-hardened schema-agnostic database platform in the global market. Biju has been working with MarkLogic since 2018.

Steve Hoberman’s first word was “data”. He has been a data modeler for over 30 years, and thousands of business and data professionals have completed his Data Modeling Master Class. One of Steve’s frequent data modeling consulting assignments is to review data models using his Data Model Scorecard® technique. He is the creator of the Data Modeling Institute’s Data Modeling Certification exam, Conference Chair of the Data Modeling Zone conferences, editor-in-chief of Technics Publications, lecturer at Columbia University, and recipient of the Data Administration Management Association (DAMA) International Professional Achievement Award.