Looking at Methods of Database Design. Summary. Chapter 2: Database Modeling in the Workplace. Understanding Business Rules and Objectives. Database Design - 2nd Edition by Adrienne Watt and Nelson Eng is licensed under a Database Design – 2nd Edition is a remix and adaptation, based on. or How to Design a Database Without Touching a Computer Note: Regrettably, discussions on database design tend to suffer from a special, rather non-.
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PDF | 95+ minutes read | On Dec 1, , Bhojaraju.G and others published Database Management: Concepts and Design. Howard Gould. Database Design and. Implementation. A practical introduction using Oracle SQL. Download free books at. John Mylopoulos. Database Design -- 1. XXI. Database Design. Databases and DBMS. Data Models, Hierarchical, Network, Relational. Database Design.
I sincerely thank the authors for sharing. While the book at least mentions all of the key terms, it is not clear that these concepts are covered in sufficient depth to really serve as a practical guide for new practitioners.
Database Design Books
More explanation follows. I didn't spot any glaring inaccuracies in the book.
However, because it was so short, I worry that there was not enough context provided or depth of explanation so that beginners in this field would be able to follow it with any degree of confidence.
The pace of development is so fast these days, students need to be as self-sufficient in their learning as possible, and I'm not sure that is practical with this text. It is not clear that the authors have spent much time doing database development in the last ten years.
Their suggested development methodology based on the waterfall model is all but obsolete.
Over time, it has proven to be both inflexible and a bottleneck that delays the efforts of other developers working on a project. Their coverage in some chapters is oddly platform-specific.
For example, the data types they introduce in detail in chapter 15 SQL Structured Query Language do not apply to all or perhaps even most DBMS, and the differences between DBMS implementations are likely to cause major difficulties if students were to try to apply these concepts in a context where they don't apply.
SQLite, for example, only has about native data types and it is one of the most commonly used environments these days due to its small size, portability, and the fact that it is built-in to browsers and mobile devices. As explained above in the "Accuracy" section, I worry that the explanations of key concepts were too short, not well organized, and therefore are likely to be unclear to beginners in this field.
Most of the time the book stays at a very high level, but on occasion, and without warning it jumps into great depth. For example, chapter 11 functional dependencies takes a sudden and deep dive into the subject of set theory and related axioms. This is not consistent in tone or apparent level of understanding of the reader. This would be quite jarring from the perspective of a student. Although the chapter titles suggest modularity, I didn't feel there was a great deal of discipline in terms of where content was placed.
I think students being introduced to the concepts here would be very confused by this.
I found the organization somewhat confusing. For example, both chapters 10 and 11 begin by introducing the concept of functional dependency. I would have expected the concept to be fully defined and explained in one chapter or the other, not both, or at the very least make it clear that the concept is broken up into multiple chapters.
Some topics seemed to appear out of the blue in the middle of some chapters without warning. Chapters were inconsistent in terms of their length and the depth and care with which they treated a subject. For example, chapter 14 Database Users was extremely short, and could have been covered perhaps was?
In general, navigating through the book was straightforward. However, many of the images were very small and of poor resolution. Furthermore, if you click on many of the images they are linked to different, unrelated images rather than larger, clearer versions of the same image.
This book is not offensive, at all. However, it utterly fails to address the cultural contexts of data within organizations and society. Beginners to database design frequently fail to understand the impact that database structure can have on the structure and function of an organization.
Sometimes organizations find themselves having to adapt to their data structures rather than the other way around.
Beginning Database Design
A good modern example is the concept of gender. It is now generally recognized that gender is a non-binary facet of identity. The traditional failure of the software community to consider, let alone address, issues like this is replete through the industry.
Discussions of the ethical and sociocultural ramifications of data are completely absent from this text. While technically fairly accurate, this book falls short in some important dimensions of relevance and cultural sensitivity. I think the treatment of the subjects is uneven, redundant in some places, very high level in others, and of more depth than necessary in yet others.
I would not feel comfortable using this book to teach introductory students.
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The texts covers all the topics required for an introduction to data base management course. The book is accurate and follows the conventions used in other popular references in the data base management system field. The book is very relevant to the content covered in an introductory database management system courses. The book text clear. The figures resolution is not excellent but readable.
The naming of the attributes for some relations in the relational model chapter is not very descriptive in some cases. The exercises are limited in some chapters. The text is easy to read and easy to divide in smaller sections that can be assigned within the course.
The flow of the book is very good and follows the state of the art for other very well know references in the same field. Better to add some more brief introduction on non-traditional databases and maybe some compact comparison table as well.
The figures and the tables are clear. Some itemized list may extend with longer explanations. Chapter 3 may be improved by putting some sections as sub-sections under other sections. Modularity rating: 3 Although the chapter titles suggest modularity, I didn't feel there was a great deal of discipline in terms of where content was placed.
I think students being introduced to the concepts here would be very confused by this. For example, both chapters 10 and 11 begin by introducing the concept of functional dependency. I would have expected the concept to be fully defined and explained in one chapter or the other, not both, or at the very least make it clear that the concept is broken up into multiple chapters.
Some topics seemed to appear out of the blue in the middle of some chapters without warning. Chapters were inconsistent in terms of their length and the depth and care with which they treated a subject. For example, chapter 14 Database Users was extremely short, and could have been covered perhaps was? Interface rating: 3 In general, navigating through the book was straightforward.
However, many of the images were very small and of poor resolution.
Furthermore, if you click on many of the images they are linked to different, unrelated images rather than larger, clearer versions of the same image.
Grammatical Errors I found only minor problems with grammar or diction.
Even large companies can operate within the simple database environment. Decentralized design Decentralized design might best be used when the data component of the system has a large number of entities and complex relations upon which complex operations are performed.
This is also likely to be used when the problem itself is spread across many operational sites and the elements are a subset of the entire data set. In large and complex projects a team of carefully selected designers are employed to get the job done.
Mastery Level Learning and the Art of Database Design
This is commonly accomplished by several teams that work on different subsets or modules of the system. Conceptual models are created by these teams and compared to the user views, processes, and constraints for each module. Once all the teams have completed their modules they are all put aggregated into one large conceptual model.The content includes all key components and topics about traditional database management systems.
Bottom — up design method The bottom-up approach begins with the specific details and moves up to the general. Sometimes organizations find themselves having to adapt to their data structures rather than the other way around.
The primary responsibility for the design and maintenance of these databases rests with a company's information technology department. A database generally stores its schema in a data dictionary.
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