- Gebundene Ausgabe: 976 Seiten
- Verlag: The Morgan Kaufmann Series in Data Management Systems; Auflage: 2 ed (3. Mai 2008)
- Sprache: Englisch
- ISBN-10: 0123735688
- ISBN-13: 978-0123735683
- Größe und/oder Gewicht: 19 x 3,8 x 24,1 cm
- Durchschnittliche Kundenbewertung: Schreiben Sie die erste Bewertung
- Amazon Bestseller-Rang: Nr. 381.670 in Fremdsprachige Bücher (Siehe Top 100 in Fremdsprachige Bücher)
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Information Modeling and Relational Databases: From Conceptual Analysis to Logical Design (Morgan Kaufman Series in Data Management Systems) (Englisch) Gebundene Ausgabe – 3. Mai 2008
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This book is an excellent introduction to both information modeling in ORM and relational databases. The book is very clearly written in a step-by-step manner, and contains an abundance of well-chosen examples illuminating practice and theory in information modeling. I strongly recommend this book to anyone interested in conceptual modeling and databases.
Dr. Herman Balsters, Director of the Faculty of Industrial Engineering, University of Groningen, The Netherlands
"Information Modeling and Relational Databases, Second Edition", provides an introduction to ORM (Object-Role Modeling) and much more. In fact, it is the only book to go beyond introductory coverage and provide all of the in-depth instruction you need to transform knowledge from domain experts into a sound database design. This book is intended for anyone with a stake in the accuracy and efficacy of databases: systems analysts, information modelers, database designers and administrators, and programmers. Terry Halpin, a pioneer in the development of ORM, blends conceptual information with practical instruction that will let you begin using ORM effectively as soon as possible. Supported by examples, exercises, and useful background information, his step-by-step approach teaches you to develop a natural-language-based ORM model, and then, where needed, abstract ER and UML models from it. This book will quickly make you proficient in the modeling technique that is proving vital to the development of accurate and efficient databases that best meet real business objectives.It presents the most indepth coverage of Object-Role Modeling available anywhere, including a thorough update of the book for ORM2, as well as UML2 and E-R (Entity-Relationship) modeling. It includes clear coverage of relational database concepts, and the latest developments in SQL and XML, including a new chapter on the impact of XML on information modeling, exchange and transformation. New and improved case studies and exercises are provided for many topics. The book's associated web site provides answers to exercises, appendices, advanced SQL queries, and links to downloadable ORM tools. Alle Produktbeschreibungen
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Back in the University, when taught UML and ER diagrams, I was always a bit skeptic about all of them, as I could never really fit them into one big picture. This book was a great aid to me in this regard: not only does it cover fact-oriented information modeling (rooted in logic -- and so, making sense!), but it also shows the path to implementation (which most certainly will make use of relational databases available on the market), thereby bridging the disconnect mentioned above.
With this book, one can learn:
- an approach to systematically modelling "the real world" (that is, finding out which facts a given business is interested in, and finding how these facts are related to each other) with an eye towards implementation
- how some of the existing information modeling methods (e.g., UML, ER, IDEFx, ORM) can express same concepts, with a comparative analysis of the benefits and drawbacks of each method (personally, this is something I enjoy very much)
There are no necessary prerequites to reading (the book starts lightly), however I think it would be best to become familiar with basic formal logic concepts beforehand, so as to have some familiarity with certain technicalities (such as a brief discussion of consistency of universe of discourse), thus not having to take detours while reading.
I feel like I have been warped back to 1989 when reading this book. Although there are some theoretical benefits to the approaches taken in the book, industry has largely chosen to not use many of the topics preached within. In the forwards it was mentioned that common industry modeling techniques were contrasted fairly (e.g. UML/ER) -- but I did not find this to be true. The book reads like a desperate attempt to make a lesser used modeling technique relevant. I was hopeful when picking up this book it would be a fair comparison and add a powerful tool I could use in my daily work data-modeling.
As a text-book for first-time data modelers this book does provide some value. Unfortunately, the explanations are dry, patronizing on simple topics and skip detail on complex ones. A typical explanation in the book reads: "For brevity, relational style assumes that variables in the rule head are universally quantified and that variables introduced in the body are existentially quantified." The examples are too simplistic to actually fully explain concepts - and frustratingly seem to avoid all real-world pitfalls we typically encounter as data modelers. On the positive side, if you have no background in modeling at all - you will learn something from this book.
For everyone else, this book is only useful if you are looking for a history lesson on alternative modeling approaches or need a different perspective than is offered in books focused on UML.
In the end, I think there are better choices for learning.