The Data Modeling Handbook : A Best-Practice Approach to Building Quality Data Models Review

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The Data Modeling Handbook : A Best-Practice Approach to Building Quality Data Models ReviewI have many books on data modeling but this one is probably the most understandable. The examples are well-formed and many diagrams are provided along with written explanations. They do an excellent job of going through 5th normal form and show how to resolve many different issues such as special cases in generalization hierarchies. I have found this book very useful in practice and it has served me well.The Data Modeling Handbook : A Best-Practice Approach to Building Quality Data Models OverviewA Straightforward, No-Nonsense Guide to Building the Most Accurate, Complete, and Useful Data Models Possible. How do I know if my data model is accurate? When is a model really complete? Is it possible for a model to be both technically perfect and of no use to an organization, and what can I do to avoid that problem? This book provides answers to these and other crucial data modeling questions. While there are plenty of books that describe the characteristics of finished high-quality data models, only The Data Modeling Handbook gets down to the nitty-gritty of actually building one. Packed with real-world examples, annotated diagrams, and a wealth of rules and best practices, this field-tested guide provides experienced data modelers, architects, and engineers with hands-on guidance from two noted data management experts.* The only book offering clear, straightforward rules and guidelines for judging model accuracy and completeness* Presents all rules in several notations, including IDEF1X, Martin, Chen, and Finkelstein* Compares and contrasts the most popular modeling styles and demonstrates how great models can be built using any type of notation* Explains how to use an organization's plans, policies, objectives, and strategies to build accurate, complete, and useful models* Offers detailed guidance to establishing a continuous quality evaluation program that's easy to implement and follow* Packed with real-world examples and annotated diagrams illustrating each point covered* Describes how to use Case tools most effectively to build high-quality models

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Information Modeling and Relational Databases, Second Edition (The Morgan Kaufmann Series in Data Management Systems) Review

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Information Modeling and Relational Databases, Second Edition (The Morgan Kaufmann Series in Data Management Systems) ReviewEveryone needs this book. Read more to find out why:
If you intend to create genuinely useful business applications without first creating an accurate conceptual data model and deriving the database schema from the model, then I hope your projects have very large budgets and flexible deadlines, because you'll need both. Accurate conceptual data models are not an academic curiousity, they are a practical necessity. Well designed databases are the heart of every business application, and accurate conceptual data models are the foundation of every well designed database.
This book presents a method for data modeling called Object Role Modeling (ORM). If you've never created a data model before, you might as well learn the best method from the start. If you've used E-R (Entity Relationship) modeling before, this is your chance to learn a method that overcomes the limitations of E-R, while building on the knowledge you already have.
ORM is based on facts (assertions about the business sphere you are modeling), not entities and attributes. Business users understand facts much better than they understand data modeling abstractions. By using ORM facts, you create your data model in a language that business users can understand and validate. Poor communication with business users and inadequate understanding of requirements are major causes of design deficiencies. ORM solves these issues through its fact based approach.
ORM is also much more expressive than any other popular data modeling notation, ncluding UML and all major flavors of E-R. Many business rules should be expressed as data constraints, but traditional data modeling languages don't do well at capturing these constraints. By capturing the constraints in an ORM model and validating with the users, you make the construction of a good application much easier.
Halpin is an excellent writer, and this book is very easy to read. The many examples and crisp writing style mean that you'll actually understand what the author intends, a refreshing change from most computer books. If you've read the previous edition of this book, this update is very worthwhile. There is a lot of expanded and new material, and you'll be happy you purchased the new edition.Information Modeling and Relational Databases, Second Edition (The Morgan Kaufmann Series in Data Management Systems) OverviewInformation 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. *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. *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.

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Systems Analysis and Design Review

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Systems Analysis and Design ReviewPrice reflects quality. This book is superb for System Analyst and Designers (SAD), both beginner and advanced ones. It is very informative that can be used for both learning and reference purposes. The authors explain everything very clearly using the same case examples (CD Selection case) and exercises for every chapter, so it's very easy to understand and keep track as you move chapter by chapter. I used to screw up in SAD but as I started using this book, I learned much more and much better than before. Thanks to the authors for thier good job and my professor who recommended this book to the class. Highly recommended for anyone interested in SAD.Systems Analysis and Design OverviewThe 4th edition of Systems Analysis and Design continues to offer a hands-on approach to SA&D while focusing on the core set of skills that all analysts must possess.
Building on their experience as professional systems analysts and award-winning teachers, authors Dennis, Wixom, and Roth capture the experience of developing and analyzing systems in a way that students can understand and apply.
With Systems Analysis and Design, 4th edition, students will leave the course with experience that is a rich foundation for further work as a systems analyst.

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Data Model Patterns: A Metadata Map (The Morgan Kaufmann Series in Data Management Systems) Review

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Data Model Patterns: A Metadata Map (The Morgan Kaufmann Series in Data Management Systems) ReviewThis book is great stuff for Enterprise Architects. The discussion of Zachman is better than any of the Zachman Institues articles. The explanation of the value of architectural meta-models is excellent.
On the down side, the meta-models presented are very good EXCEPT that the author still presents data as being a part of an application. Surely 20 or so years after James Martin we are past that. Applications with their own data schemata are to be avoided and suppressed, rather than endorsed.
If your are a "real" Enterprise Architect, then this is book indispensable, but review all of the meta-models carefully to insure that they comply with your particular religion.
Data Model Patterns: A Metadata Map (The Morgan Kaufmann Series in Data Management Systems) OverviewIn recent years, companies and government agencies have come to realize that the data they use represent a significant corporate resource, whose cost calls for management every bit as rigorous as the management of human resources, money, and capital equipment. With this realization has come recognition of the importance to integrate the data that has traditionally only been available from disparate sources. An important component of this integration is the management of the "metadata" that describe, catalogue, and provide access to the various forms of underlying business data. The "metadata repository" is essential keeping track both of the various physical components of these systems, but also their semantics. What do we mean by "customer?" Where can we find information about our customers? After years of building enterprise models for the oil, pharmaceutical, banking, and other industries, Dave Hay has here not only developed a conceptual model of such a metadata repository, he has in fact created a true enterprise data model of the information technology industry itself.* A comprehensive work based on the Zachman Framework for information architecture-encompassing the Business Owner's, Architect's, and Designer's views, for all columns (data, activities, locations, people, timing, and motivation)* Provides a step-by-step description of model and is organized so that different readers can benefit from different parts* Provides a view of the world being addressed by all the techniques, methods and tools of the information processing industry (for example, object-oriented design, CASE, business process re-engineering, etc.)* Presents many concepts that are not currently being addressed by such tools - and should be

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