DATABASE SYSTEMS: THE COMPLETE BOOK. Este artículo no está disponible.
Idioma: inglés
Editorial: PEARSON EDUCATION LIMITED, 2016
- Tapa blanda
- Nuevo

Librería: Libros Tobal, Ajalvir, M, EspañaLibros Tobal
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Descripción del artículo del vendedor
BASES DE DATOS.
N° de ref. del artículo 9781292024479
- Título
- DATABASE SYSTEMS: THE COMPLETE BOOK
- Autor
- HECTOR GARCIA-MOLINA
- Editorial
- PEARSON EDUCATION LIMITED
- Año de publicación
- 2016
- Estado
- Nuevo
- Encuadernación
- Encuadernación de tapa blanda
- Idioma
- inglés
- ISBN 10
- 129202447X
- ISBN 13
- 9781292024479
- Edición
- 2ª Edición
Written by well-known computer scientists, this introduction to database systems offers a comprehensive approach, focusing on database design, database use, and implementation of database applications and database management systems.The first half of the book provides in-depth coverage of databases from the point of view of the database designer, user, and application programmer. It covers the latest database standards SQL:1999, SQL/PSM, SQL/CLI, JDBC, ODL, and XML, with broader coverage of SQL than most other texts. The second half of the book provides in-depth coverage of databases from the point of view of the DBMS implementor. It focuses on storage structures, query processing, and transaction management. The book covers the main techniques in these areas with broader coverage of query optimization than most other texts, along with advanced topics including multidimensional and bitmap indexes, distributed transactions, and information integration techniques. Resources:
- Open access Author Website ¿¿includes Power Point slides, teaching notes, assignments, projects, Oracle Programming Guidelines, and solutions to selected exercises.
- Instructor only Pearson Resources: Complete Solutions Manual (click on the Resources tab above to view downloadable files)
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Acerca del autor
Jeffrey D. Ullman is the Stanford W. Ascherman Professor of Computer Science (emeritus) at Stanford University. He is the author or co-author of 16 books, including Elements of ML Programming. His research interests include data mining, information integration, and electronic education. He is a member of the National Academy of Engineering, and recipient of a Guggenheim Fellowship, the Karl V. Karlstom Outstanding Educator Award, the SIGMOD Contributions and Edgar F. Codd Innovations Awards, and the Knuth Prize.
Jennifer Widom is Professor of Computer Science and Electrical Engineering at Stanford University. Her research interests span many aspects of nontraditional data management. She is an ACM Fellow and a member of the National Academy of Engineering, she received the ACM SIGMOD Edgar F. Codd Innovations award in 2007 and was a Guggenheim Fellow in 2000, and she has served on a variety of program committees, advisory boards, and editorial boards.
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