|
Showing 1 - 3 of
3 matches in All Departments
|
Database Design: Know It All (Hardcover)
Toby J. Teorey, Stephen Buxton, Lowell Fryman, Ralf Hartmut Guting, Terry Halpin, …
|
R1,802
R1,670
Discovery Miles 16 700
Save R132 (7%)
|
Ships in 12 - 17 working days
|
This book brings all of the elements of database design together in
a single volume, saving the reader the time and expense of making
multiple purchases. It consolidates both introductory and advanced
topics, thereby covering the gamut of database design methodology ?
from ER and UML techniques, to conceptual data modeling and table
transformation, to storing XML and querying moving objects
databases.
The proposed book expertly combines the finest database design
material from the Morgan Kaufmann portfolio. Individual chapters
are derived from a select group of MK books authored by the best
and brightest in the field. These chapters are combined into one
comprehensive volume in a way that allows it to be used as a
reference work for those interested in new and developing aspects
of database design.
This book represents a quick and efficient way to unite valuable
content from leading database design experts, thereby creating a
definitive, one-stop-shopping opportunity for customers to receive
the information they would otherwise need to round up from separate
sources.
* Chapters contributed by various recognized experts in the field
let the reader remain up to date and fully informed from multiple
viewpoints.
* Details multiple relational models and modeling languages,
enhancing the reader's technical expertise and familiarity with
design-related requirements specification.
* Coverage of both theory and practice brings all of the elements
of database design together in a single volume, saving the reader
the time and expense of making multiple purchases.
Database systems and database design technology have undergone
significant evolution in recent years. The relational data model
and relational database systems dominate business applications; in
turn, they are extended by other technologies like data
warehousing, OLAP, and data mining. How do you model and design
your database application in consideration of new technology or new
business needs?
In the extensively revised fifth edition, you ll get clear
explanations, lots of terrific examples and an illustrative case,
and the really practical advice you have come to count on--"with
design rules that are applicable to any SQL-based system." But you
ll also get plenty to help you grow from a new database designer to
an experienced designer developing industrial-sized systems.
In-depth detail and plenty of real-world, practical examples
throughout
Loaded with design rules and illustrative case studies that are
applicable to any SQL, UML, or XML-based system
Immediately useful to anyone tasked with the creation of data
models for the integration of large-scale enterprise data. "
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!
|
|