Books on data modeling can be found in any bookstore. However, there are a few good ones that are worth looking into. “Data Modeling with UML 2.0” by Christopher S. Meyers and “Domain Modeling with UML” by Ivar Jacobson are two of the better books on the market. Both books cover the same material, but Jacobson’s book is more comprehensive. Both books are well written and provide a good understanding of the concepts. However, if you are looking for a more hands-on approach, “Data Modeling with UML 2.0” is a better book to use. Both books are available on Amazon.com.
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Last update: 2024-09-19 // Source: Amazon Affiliates
HOW TO CHOOSE BEST Data Modeling Books
There is no single answer to this question as everyone’s needs and preferences will vary. However, some general tips that may be helpful include: 1. Consider the specific needs that you hope to gain from reading the book. For example, if you are interested in learning how to create a data model from scratch, then a book focused on that topic may be more beneficial than one that is focused on using an existing data model. 2. Consider the level of detail that you need in order to understand the concepts being taught. For example, if you are looking to learn the basics of data modeling, a book that is solely focused on that information may be more beneficial than one that goes into more detail but is not as straightforward to follow. 3. Consider the type of data model that you are interested in. For example, if you are interested in learning about data models for databases, then a book focused on that specific subject may be more beneficial than one that is focused on data models for other types of applications. 4. Consider the length of the book. Some books are shorter in length and may be more concise in their explanations, while others may be more detailed and may require more time to read. 5. Consider the price of the book. Some books are more expensive than others, but the quality of the information may still be worth the investment.
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CONCLUSION
The five tips listed above are just general suggestions that may be helpful when selecting a book on data modeling. Each individual’s needs will vary, so it is important to consult with a trained professional before making any decisions.