MongoDB Data Modeling and Schema Design

<p><strong>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. </strong></p><p><br></p><p>Read <em>MongoDB Data Modeling</em> <em>and Schema Design</em> if you are a data professional who needs to expand your modeling skills to include MongoDB or a technologist who knows MongoDB but needs to grow your schema design skills.</p><p><br></p><p>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. </p><p><br></p><p>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 <em>aligned</em> on terminology and general initiative scope. Chapter 2 Refine is about capturing the business requirements. That is <em>refining</em> our knowledge of the initiative to focus on what is essential. Chapter 3 Design is about the technical requirements. That is <em>designing</em> to accommodate our model's unique software and hardware needs.</p><p><br></p><p>Align Refine and Design-that's the approach followed in this book and reinforced through an animal shelter case study. </p><p><br></p><p>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. </p>