Free download Foundations of Databases in PDF written by Serge Abiteboul, Richard Hull (University of Southern California), Victor Vianu (University of California – San Diego) and published by Addison – Wesely Publishing Company, Inc.
According to the Author, “Database Theory is a relative new comer to the ﬁeld of computer science. Early data management systems were based on techniques from several classical areas of computer science, ranging from hardware and operating systems to data structures and programming languages. In the early seventies, a leap of abstraction from ﬁle systems produced relational databases and its accompanying theory, with logic as the catalyst. We believe that database theory has matured—that it has emerged as an elegant and robust part of science with its own identity. As such, it embodies its own peculiar brand of wisdom that deserves to be communicated not just to insiders, but to the computer science community at large.
In a nutshell, a database management system is a software system that enables the creation, maintenance, and use of large amounts of data. In contrast with many programming applications, the logical data structure—the “database schema”—used to structure a given data set is usually much smaller than the volume of that set. Furthermore, the data is persistent, evolving over time and surviving multiple invocations of the database management software. To increase usability, concurrent access to the data is usually supported with specialized protocols that guarantee a form of noninterference between interleaved transactions.Importantly, modern database management systems embody a distinction between the logical level and the physical level. The logical level focuses on an abstract representation of the data, along with languages to create, query and modify it; the physical level focuses on the underlying implementation, including the physical layout used to store the data, the indexing and clustering schemes, and the concurrency and recovery protocols.
This book Foundations of Databases deals with the theory that has developed around the logical level of databases. It has two main objectives: to provide a focused presentation of the core material and to present the essence of the advanced material in a uniﬁed framework. Some of the advanced material has never before been presented in book form. The presentation style is quite rigorous, in that precise deﬁnitions and statements of results are provided. However, our overriding concern was to make things simple to the reader, to get across the intuition and elegance of the concepts and proofs, rather than adhere to very strict criteria of rigor. Numerous examples, ﬁgures, and exercises should help clarify the development. Some of the proofs emphasize intuition and leave out much of the detail; we called such a proof a “crux.” In this way we have tried to achieve a balance between formalism and intuition. As we went along, a two-tier style emerged, with a tendency towards more rigor in the exposition of the core material and more intuition in the presentation of advanced and tangential topics.
The primary focus in this book “Foundations of Databases” is to present part of the theory underlying the design and use of very popular systems—namely, the database systems. A brief presentation of the main features of these systems is provided in the ﬁrst chapter. The second chapter gives a brief review of the main theoretical tools and results that are used in this volume including some basics from naive set theory and standard computer science material from language, complexity, and computability theories. We also survey aspects of mathematical logic. In the third chapter,we reach the core material of the book. We introduce the relational model and present the basic notation that will be used throughout the book.
Table of Contents
- Database Systems
- Theoretical Background
- The Relational Model
- Conjunctive Queries
- Adding Negation – Algebra and Calculus
- Static Analysis and Optimization
- Notes on Practical Languages
- Functional and Join Dependency
- Inclusion Dependency
- A Large Perspective
- Design and Dependencies
- Evaluation of Datalog
- Recursion and Negation
- Negation and Datalog
- Sizing Up Languages
- First Order, Fix Point and While
- Highly Expressive Languages
- Incomplete Information
- Complex Values
- Object Databases
- Dynamic Aspects
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