Database System Concepts
McGraw-Hill Higher Education, 2006 - Computers - 1142 pages
Database System Concepts, 5/e, is intended for a first course in databases at the junior or senior undergraduate, or first-year graduate, level. In addition to basic material for a first course, the text contains advanced material that can be used for course supplements, or as introductory material for an advanced course.
The authors assume only a familiarity with basic data structures, computer organization, and a high-level programming language such as Java, C, or Pascal. Concepts are presented as intuitive descriptions, and many are based on the running example of a bank enterprise. Important theoretical results are covered, but formal proofs are omitted. In place of proofs, figures and examples are used to suggest why a result is true.
The fundamental concepts and algorithms covered in the book are often based on those used in existing commercial or experimental database systems. The aim is to present these concepts and algorithms in a general setting that is not tied to one particular database system. Details of particular commercial database systems are discussed in the case studies which constitute Part 8 of the book.
The fifth edition ofDatabase System Conceptsretains the overall style of prior editions while evolving the content and organization to reflect the changes that are occurring in the way databases are designed, managed, and used.Key Handles:• Early coverage of SQL in two chapters• Think of SQL as doing or creating Queries• Silberschatz uses a bank analogy throughout his text with Running Examples• Case studies are incorporated that represent a different database, this is in the last Part of the text• Focuses on cutting edge material, such as xml, web based database systems
71 pages matching operation in this book
Results 1-3 of 71
What people are saying - Write a review
LibraryThing ReviewUser Review - IvanIdris - LibraryThing
This book teaches about the inner workings, the nuts and bolts of databases without requiring a lot of prior knowledge: Data Models Relational Databases Object Based Databases and XML Data Storage and ... Read full review