Physical Database Design - The Database Professional's Guide to Exploiting Indexes, Views, Storage, and More (Paperback, 4th Revised edition)

The rapidly increasing volume of information contained in relational databases places a strain on databases, performance, and maintainability: DBAs are under greater pressure than ever to optimize database structure for system performance and administration.
Physical Database Design discusses the concept of how physical structures of databases affect performance, including specific examples, guidelines, and best and worst practices for a variety of DBMSs and configurations. Something as simple as improving the table index design has a profound impact on performance. Every form of relational database, such as Online Transaction Processing (OLTP), Enterprise Resource Management (ERP), Data Mining (DM), or Management Resource Planning (MRP), can be improved using the methods provided in the book.
- The first complete treatment on physical database design, written by the authors of the seminal, Database Modeling and Design: Logical Design, 4th edition.
- Includes an introduction to the major concepts of physical database design as well as detailed examples, using methodologies and tools most popular for relational databases today: Oracle, DB2 (IBM), and SQL Server (Microsoft).
- Focuses on physical database design for exploiting B+tree indexing, clustered indexes, multidimensional clustering (MDC), range partitioning, shared nothing partitioning, shared disk data placement, materialized views, bitmap indexes, automated design tools, and more!

General

Imprint:	Morgan Kaufmann Publishers In
Country of origin:	United States
Series:	The Morgan Kaufmann Series in Data Management Systems
Release date:	June 2007
First published:	April 2007
Authors:	Sam S. Lightstone • Toby J. Teorey • Tom Nadeau
Dimensions:	235 x 191 x 28mm (L x W x T)
Format:	Paperback
Pages:	448
Edition:	4th Revised edition
ISBN-13:	978-0-12-369389-1
Categories:	Books > Computing & IT > Applications of computing > Databases > General Books > Academic & Education > Professional & Technical > Data Management
LSN:	0-12-369389-6
Barcode:	9780123693891

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