A First Course in Database Systems

A First Course in Database Systems
Name	A First Course in Database Systems
Author	Jeffrey D. Ullman, Jennifer Widom
Subject	Database management system, Relational model
Publisher	Prentice Hall
Pub date	1997
Media type	Print
Pages	470
Isbn	978-0138613372
Oclc	36461686
Followed by	Database Systems: The Complete Book

A First Course in Database Systems is a foundational textbook authored by Jeffrey D. Ullman and Jennifer Widom, first published in 1997 by Prentice Hall. It serves as an introductory guide to core principles of database management systems, emphasizing the relational model and SQL. The text is designed for undergraduate students and has been widely adopted in computer science curricula at institutions like Stanford University and the University of California, Berkeley.

Overview and Scope

The textbook provides a comprehensive introduction to the field, structured to build from fundamental concepts to more complex systems-level understanding. It covers the architecture of a typical database management system, including components like the query processor and storage manager. The scope extends from theoretical foundations, such as data dependencies and normalization, to practical implementation concerns. Its pedagogical approach is influenced by the authors' extensive research and teaching at Stanford University, aiming to prepare students for both academic study and professional work in fields like software engineering and data science.

Database Design and Modeling

This section introduces the critical phase of database design, beginning with conceptual modeling using the Entity-relationship model. It details the process of translating real-world requirements into a structured schema, addressing concepts like entity sets, relationship sets, and cardinality constraints. The text then methodically guides the conversion of an ER diagram into a relational schema, discussing potential pitfalls and design choices. A major focus is on database normalization, explaining various normal forms like Boyce–Codd normal form and Third normal form to eliminate data redundancy and update anomalies.

Relational Algebra and SQL

The core of the book presents the formal and practical languages for database querying. It first establishes the theoretical foundation with relational algebra, covering operations such as selection, projection, join, and set operations like union and difference. This formal framework directly supports the subsequent, extensive coverage of SQL. Instruction spans from basic DML commands for SELECT, INSERT, UPDATE, and DELETE, to advanced features including aggregate functions, GROUP BY, subqueries, and views. The discussion also touches on DDL for schema creation and constraint enforcement.

Database Application Development

Moving beyond standalone queries, this section explores how databases integrate into larger software systems. It introduces programming interfaces, with a particular emphasis on embedding SQL within host languages, a concept demonstrated through mechanisms like SQL/CLI or vendor-specific APIs. The textbook covers the critical role of transaction processing, explaining properties encapsulated by the ACID model—atomicity, consistency, isolation, and durability. Key concepts like serializability, locking protocols, and deadlock are introduced to manage concurrent access in multi-user environments like those handled by Oracle Database or Microsoft SQL Server.

Storage, Indexing, and Query Processing

This segment delves into the internal architecture and performance optimization of database systems. It explains physical data storage structures, including memory hierarchy, disk block management, and buffer management. A significant portion is dedicated to indexing structures that enable efficient data retrieval, such as B-trees and hash indexes. The principles of query optimization are introduced, discussing how a query processor parses a SQL statement, generates alternative query execution plans using relational algebra equivalences, and selects an optimal plan based on cost-based optimization estimates involving statistics.

Advanced Topics and Extensions

The final section surveys advanced paradigms and emerging trends that extend the relational model. It introduces alternative data models, including object-oriented and object-relational database systems, which handle complex data types. The textbook also covers semi-structured data models, notably XML, discussing its querying with languages like XPath and XQuery. Foundational concepts for distributed database systems and an introduction to data warehousing and OLAP are presented. While not covering them in depth, it sets the stage for further study in areas like data mining, which would be expanded upon in the authors' subsequent text, Database Systems: The Complete Book.

Category:Computer science textbooks Category:Database management systems Category:Prentice Hall books