Data storage design, and awareness of how data needs to be utilized within an organization, is of prime importance in ensuring that company data systems work efficiently. Beginning Relational Data Modeling will lead you step by step through the process of developing an effective logical data model for your relational database model. No previous data modeling experience is required. If you need to know how to capture the information needs of a business system in a relational database model, but dont know where to start, then this is the book for you.
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About the Author
Sharon Allen has worked in the field of data analysis for 24 years; 10 as a business consumer of data and 14 as a data/database modeler/architect. She has had the opportunity to experience many diverse industries-Medical, Aerospace, Entertainment(Hollywood), Manufacturing(toys,appliances, wet chemicals, metal parts & assemblies), Transportation, Food Service, and is currently working for American Honda Motors as a database Architect. She plans to finish a Masters Degree in Computer Science and possibly teach at a local college.
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10 of 11 people found the following review helpful:
5.0 out of 5 stars
Fantastic introduction to practical data modeling,
By Jack D. Herrington "engineer and author" (Silicon Valley, CA) - See all my reviews (VINE VOICE) (REAL NAME)
This review is from: Beginning Relational Data Modeling, Second Edition (Paperback)
I'm really happy with this book. We have needed a practical text on data modeling for some time. The other works have been largely academic. In this book the authors use real world examples to work through the material,
Graphics are used extensively through the book. But that makes sense for the topic. The graphics are a combination of UML and relational diagrams. The tone of the text is jocular and down to earth. This is an ideal walkthrough for engineers who have some experience using databases but now want to understand how to design databases well.
12 of 14 people found the following review helpful:
5.0 out of 5 stars
A must read if you work with data!,
By TM (Houston, TX) - See all my reviews
This review is from: Beginning Relational Data Modeling, Second Edition (Paperback)
I've been a database programmer for 15 years but I've never kept up with the "latest" database concepts. Reading Beginning Relational Data Modeling was a great way to get myself up to date! I never learned about conceptual and logical models. So this book was a real eye-opener!
It starts out with a great introduction which includes data normalization. Every developer that works with data should know what the first three are. Apparently there has been another one added called Boyce-Codd Normal Form (BCNF). This one was new to me and I thought it was explained very well. I thought the book was very informational. I think every developer that works with data should read this book to bring themselves up to data on the latest data modeling concepts.
9 of 10 people found the following review helpful:
4.0 out of 5 stars
learn to make conceptual models,
By
This review is from: Beginning Relational Data Modeling, Second Edition (Paperback)
While the book calls itself "Beginning", it actually takes you a long way into understanding and making a relational model. The authors heavily downplay the formal maths aspect. No predicate calculus and no proving of theorems. Of necessity, the Normal Forms are explained, including the contributions of Boyce and Codd to this development. Simple relational tables are used for illustration. This topic lends itself easily to diagrams of interrelated data sets held in tables. Which is probably more visually understandable anyway.
Perhaps the most important chapter is on making a conceptual model of your system or problem. In a top down approach, you start here. And it can be rather intangible until you build up expertise. Subsequent chapters show how to parlay the conceptual model into a logical model and then into a physical model. Important steps, to be sure, but secondary. Focus on the essentials.
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color name, playing area, back design, contact identifier, play sequence number, vehicle serial number, person identifier, move sequence number, product category name, card side, car serial number, color suit, available card, master pack, textual label identifying, label identifying one, additional rectan, communicating with the model, processing pile, child terminator, child entity name, role name mapping, parent entity name, operational columns, key migrates Key Phrases - Capitalized Phrases (CAPs): (learn more)
Suit Name, Car Order, Card Name, Order Number, Order Date, Solitaire Conceptual, Each Card, Long Integer, Customer Name, Suit Symbol Image, Each Play, Each Game, Card Type Name, Derived Fully, Game Start Time, Card Face, Order Creation Method Name, Third Normal Form, Company Name, Year Number, Social Security, Communication Address Identifier, Order Line Number, Final Game State Name, Game Start Date Browse Sample Pages:
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