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About the Author
Thomas M. Connolly is the head of the Computing and Information Systems division at the University of Paisley. Carolyn E. Begg is a lecturer at the University of Paisley, with research interests in Information Systems, Database Management Systems, and Decision Support Systems within medicine.
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Product details
Paperback: 1440 pages
Publisher: Pearson; 6 edition (January 18, 2014)
Language: English
ISBN-10: 0132943263
ISBN-13: 978-0132943260
Product Dimensions:
7.6 x 2.2 x 9.2 inches
Shipping Weight: 3.9 pounds (View shipping rates and policies)
Average Customer Review:
4.0 out of 5 stars
82 customer reviews
Amazon Best Sellers Rank:
#344,200 in Books (See Top 100 in Books)
This book opened the doors of relational database management systems to me. Prior to reading it I had some general experience with MySQL but an incomplete understanding of the subject. Much to my surprise I found I really liked working with a RDBMS's so I began searching for a book that would give me a solid introdcution to the theory and practice. I think this book fit the bill. After reading it I was ready to tackle a data migration project from Unify to Informix. Now I work as a database programmer. I have since purchased and read other RDBMS books about Informix (the RDBMS I have worked most with) but I find that I still refer to this text from time to time to clear up some minor points of confusion. This book will not make you an expert with RDBMS's but it will give you the background necessary to build up your confidence so you can tackle other tasks. At times the prose can be a bit drawn out but those sections are few and far between. Be advised though that this book uses conceptual/practical approach to database design. While it provide some examples using MS Access and Oracle I find the conceptual discussions more interesting and indeed more useful. With this foundation I was able to begin working with Informix Dynamic Server-an RDBMS that is clearly not the focus of this book.
This text is relatively good book on database systems. In my opinion, it should not be the first book you read on the topic. Also, chapter organization could/should be done other way.Whatever the case, this text revolves around use of UML in database modeling, which is not my favorite tool for this time. I like ERDs and what's more foot-crow ERDs. So, I couldn't find any in this text. But, since authors say that UML is pretty much becoming a standard and many people would agree with them, I will keep my preference for crows-foot ERD to myslef.This text covers topics like: distributed systems, transaction management, and web technologies. These are not the easiest topics and reader should have some previous knowledge of databases before getting to this book.
This was the required textbook for a MS Predictive Analytics program. Let me start by saying this is not a "How to..." book, it is a comprehensive (yet shallow) overview of database systems from design to usage.Here are my key concerns:1. Content: There is too much fluff in early chapters regarding the history of database development and the shortcomings of the different models. It is interesting, but not of much practical value.Additionally, I feel the chapters on SQL syntax and keywords lacked any kind of "Let's put this all together" development that was a positive aspect of the ER modeling chapters. As a coding book, it falls short of other texts on the market; but, that is likely not the book's intent.2. Usability: The book likes to present a case study and use that as the basis for subsequent chapter discussions. The issue with this, and this is my personal pet peeve with many textbooks, is that the book references figures and paragraphs from previous chapters in subsequent chapters. What this means is that you are continually searching previous chapters' information to understand the implementation being discussed in the current chapter (For example, a discussion on B-C Normal Form might reference the 2NF and 3NF tables from 40 pages before.). It makes for a lot of searching and bookmarking.Overall, the book is a good effort by the authors and you can see the time that was put into it. They have a commanding knowledge of the subject, without a doubt. But the book paints with too broad a brush. It seems that some very useful information was omitted for the sake of page count. My recommendation is that the editors remove the historical aspects and include more SQL implementation.
It came with a bit more wear and tear than it seemed to have advertised (which is also a bit subjective I will admit) but all in all the pieces I need to read are in decent shape so that's all that matters. Based on what I've looked over with a glance this book seems pretty in depth so I'm excited to read it.
Extremely dry read, even for a text book. Unnecessarily wordy and unable to create understandable connection on some otherwise simple topics. Book is very all-encompassing, however and suffices for learning graduate-level relational databases.
A very good book for conceptual courses. Goes over DB concepts heavily such as normalization, UML mapping, entity-relationship mapping. However, I found it to be way too long and lacking in real world DBA/DB architect information. All in all, a great book to introduce new students to the "concepts and ideas" of databases but don't expect to gain any practical knowledge that can be used in the field.
For school this was a great book. It was a required book and I thought it was going to get stuck in just teaching SQL or how to program in SQL. That was not the case. This teaches you how to think like a database admin, architect, user, .. etc. It covers all aspects you need to know about Databases and plus a little of the database languages out there. Yet its focus was to teach you how a and what a database and how to set one up and keep it functional.
Got this for my girlfriend for her DB classes, this book really made the concepts really easy to understand and made databases simple especially for someone who is new to the subject. It is also a good book to read for those who need to get back in touch with they database theory.
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