An Introduction to Database Systems / Edition 7

An Introduction to Database Systems / Edition 7

by C. J. Date
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An Introduction to Database Systems / Edition 7

The sixth edition of this well-respected text/reference--which has been almost completely rewritten--continues to be the most comprehensive and up-to-date treatment of database technology currently available.

Readers will gain a strong working knowledge of the overall structure, concepts, and objectives of database systems and will become familiar with the theoretical principles underlying the construction of such systems.

Product Details

ISBN-13: 9780201385908
Publisher: Addison-Wesley
Publication date: 08/28/1999
Edition description: Older Edition
Pages: 938
Product dimensions: 7.86(w) x 9.52(h) x 1.57(d)

Table of Contents

(All chapters begin with an Introduction end with a Summary, Exercises, and Reference and Bibliography)


1. An Overview of Database Management.

What is a database system?

What is a database?

Why database?

Data independence.

Relational systems and others.

2. Database System Architecture.

The three levels of the architecture.

The external level.

The conceptual level.

The internal level.


The database administrator.

The database management system.

Data communications.

Client/server architecture.


Distributed processing.

3. An Introduction to Relational Databases.

An informal look at the relational model.

Relations and relvars.

What relations mean.


The catalog.

Base relvars and views.


The suppliers-and-parts database.

4. An Introduction to SQL.


The catalog.



Embedded SQL.

Dynamic SQL and SQL/CLI.

SQL is not perfect.


5. Types.

Values v Variables.

Types v Representations.

Type Definition.


Type generators.

SQL facilities.

6. Relations.


Relation types.

Relation values.

Relation variables.

SQL facilities.

7. Relational Algebra.

Closure revisited.

The original algebra: Syntax.

The original algebra: Semantics.


What is the algebra for?

Further points.

Additional operators.

Grouping and ungrouping.

8. Relational Calculus.

Tuple calculus.


Calculus vs. algebra.

Computational capabilities.

SQL facilities.

Domain calculus.


9. Integrity.

A closer look.

Predicates and propositions.

Relvar predicates and database predicates.

Checking the constraints.

Internal v external constraints.

Correctness v consistency.

Integrity and views.

A constraint classification scheme.


Triggers (a digression).

SQL facilities.


What are views for?

View retrievals.

View updates.

Snapshots (a digression).

SQL facilities.


11. Functional Dependencies.

Basic definitions.

Trivial and nontrivial dependencies.

Closure of a set of dependencies.

Closure of a set of attributes.

Irreducible sets of dependencies.

12. Further Normalization I: 1NF, 2NF, 3NF, BCNF.

Nonloss decomposition and functional dependencies.

First, second, and third normal forms.

Dependency preservation.

Boyce/Codd normal form.

A note on relation-valued attributes.

13. Further Normalization II: Higher Normal Forms.

Multi-valued dependencies and fourth normal form.

Join dependencies and fifth normal form.

The normalization procedure summarized.

A note on denormalization.

Orthogonal design (a digression).

Other normal forms.

14. Semantic Modeling.

The overall approach.

The E/R model.

E/R diagrams.

Database design with the E/R model.

A brief analysis.


15. Recovery.


Transaction recovery.

System recovery.

Media recovery.

Two-phase commit.

Savepoints (a digression).

SQL facilities.

16. Concurrency.

Three concurrency problems.


The three concurrency problems revisited.



Recovery revisited.

Isolation levels.

Intent locking.

ACID dropping.

SQL facilities.


17. Security.

Discretionary access control.

Mandatory access control.

Statistical databases.

Data encryption.

SQL facilities.

18. Optimization.

A motivating example.

An overview of query processing.

Expression transformation.

Database statistics.

A divide-and-conquer strategy.

Implementing the relational operators.

19. Missing Information.

An overview of the 3VL approach.

Some consequences of the foregoing scheme.

Nulls and keys.

Outer join (a digression).

Special values.

SQL facilities.

20. Type Inheritance.

Type hierarchies.

Polymorphism and substitutability.

Variables and assignments.

Specialization by constraint.


Operators, versions, and signatures.

Is a circle an ellipse?

Specialization by constraint revisited.

SQL facilities.

21. Distributed Databases.

Some preliminaries.

The twelve objectives.

Problems of distributed systems.

Client/server systems.

DBMS independence.

SQL facilities.

22. Decision Support.

Aspects of decision support.

Database design for decision support.

Data preparation.

Data warehouses and data marts.

Online analytical processing.

Data mining.

SQL facilities.

23. Temporal Databases.

What is the problem?


Packing and unpacking relations.

Generalizing the relational operators.

Database work design.

Integrity constraints.

24. Logic-Based Databases.


Propositional calculus.

Predicate calculus.

A proof-theoretic view of databases.

Deductive database systems.

Recursive query processing.


25. Object Databases.

Objects, classes, methods, and messages.

A closer look.

A cradle-to-grave example.

Miscellaneous issues.

26. Object / Relational Databases.

The First Great Blunder.

The Second Great Blunder.

Implementation issues.

Benefits of true rapprochement.

SQL facilities.

27. The World Wide Web and

The Web and the Internet.

An overview of

SQL facilities.


Appendix A: The TransRelational™ Model.

Three levels of abstraction.

The basic idea.

Condensed columns.

Merged columns.

Implementing the relational operators.

Appendix B: SQL Expressions, Table Expressions, and Boolean Expressions.

Appendix C: Abbreviations, Acronyms, and Symbol.

Appendix D: Online storage structures and access methods, database access: an overview, page sets and files, indexing, hashing, pointer chains, and compression techniques.


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An Introduction to Database Systems 4.5 out of 5 based on 0 ratings. 2 reviews.
Guest More than 1 year ago
Our university just suggested us to use this text book (only read it till Chapter 20 in class but umm found it so easy and enjoy reading it (even in free periods)that I read it till 25 th chapter. I found it interesting , faced some problems in the start but in my opinion it is cool and easy to understand in addition to that it contains a wide variety of References and Bibilography's. I really liked it.
Guest More than 1 year ago
Date's treatment of database systems is heavily weighted toward the foundational principles of the relational model. If that is not what you are looking for, this text is not for you. If you want to learn SQL, get a good SQL book. If you want to play with MS-Access, by all means, do so. If you have a five-minute attention span, this book isn't for you. If, however, you wish to understand the foundational principles of database systems and what makes for a 'good' DBMS, this is the text for you. If you can't understand the theory in this book, you have no real business calling yourself a database professional. Prior to this time, I had avoided using DBMSs (as being one of the more boring aspects of computer science.) Spending six weeks wading through this book changed my mind on that. Date shows the beauty of the relational model clearly and precisely (I will grant that the emphasis is on precision rather than simplicity.) Date shows the flaws of SQL as well as its power. In this new 7th edition, more than in the earlier edition, he proclaims the way database sytems should be structured, rather than accepting the SQL status quo. He also points out clearly how the so-called object model really isn't a data model at all, and could lead us back to the 'bad old days' of ad-hoc DBMSs with no theoretical nderpinnings (and hence no verifiability.)