|
Physical Database Design: The Database Professional's Guide to Exploiting Indexes, Views, Storage & More
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!
CONTENTS:
1: Introduction to physical database design
2: Basic indexing methods
3: Query optimization and plan selection
4: Selecting indexes
5: Selecting materialized views
6: Shared nothing partitioning
7: Range partitioning
8: Multidimensional clustering
9: The interdependence problem (i.e. design choices)
10: Data sampling in design exploration
11: Access plan selection and physical design
12: Automated physical database design
13: Down to the metal
14: Physical design for Decision Support, Warehousing and OLAP
15: Denormalization
16: Distributed Data Allocation
Appendix A: A Simple Performance Model for Database
|
