Logical Database Design Principles

Logical Database Design Principles
Author: John Garmany
Publisher: CRC Press
Total Pages: 200
Release: 2005-05-12
Genre: Computers
ISBN: 0203505166

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Until now, almost all books on logical database design focused exclusively on relational design. However, modern database management systems have added powerful features that have driven a movement away from truly normalized database design. Logical Database Design Principles reflects these recent changes. The book begins by covering traditional lo

Logical Data Modeling

Logical Data Modeling
Author: Alan Chmura
Publisher: Springer Science & Business Media
Total Pages: 234
Release: 2007-03-06
Genre: Computers
ISBN: 0387229620

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Logical Data Modeling offers business managers, analysts, and students a clear, basic systematic guide to defining business information structures in relational database terms. The approach, based on Clive Finkelstein’s business-side Information Engineering, is hands-on, practical, and explicit in terminology and reasoning. Filled with illustrations, examples, and exercises, Logical Data Modeling makes its subject accessible to readers with only a limited knowledge of database systems. The book covers all essential topics thoroughly but succinctly: entities, associations, attributes, keys and inheritance, valid and invalid structures, and normalization. It also emphasizes communication with business and database specialists, documentation, and the use of Visible Systems' Visible Advantage enterprise modeling tool. The application of design patterns to logical data modeling provides practitioners with a practical tool for fast development. At the end, a chapter covers the issues that arise when the logical data model is translated into the design for a physical database.

Design - Build - Run

Design - Build - Run
Author: Dave Ingram
Publisher: John Wiley & Sons
Total Pages: 722
Release: 2009-02-23
Genre: Computers
ISBN: 0470482931

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This unique and critical book shares no-fail secrets for building software and offers tried-and-true practices and principles for software design, development, and testing for mission-critical systems that must not fail. A veteran software architect walks you through the lifecycle of a project as well as each area of production readiness—functionality, availability, performance and scalability, operability, maintainability, and extensibility, and highlights their key concepts.

Physical Database Design

Physical Database Design
Author: Sam S. Lightstone
Publisher: Morgan Kaufmann
Total Pages: 449
Release: 2010-07-26
Genre: Computers
ISBN: 0080552315

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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, Fourth 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!

Handbook of Relational Database Design

Handbook of Relational Database Design
Author: Candace C. Fleming
Publisher: Addison-Wesley Professional
Total Pages: 632
Release: 1989
Genre: Computers
ISBN:

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This book provides a practical and proven approach to designing relational databases. It contains two complementary design methodologies: logical data modeling and relational database design. The design methodologies are independent of product-specific implementations and have been applied to numerous relational product environments. 0201114348B04062001

Database Modeling and Design

Database Modeling and Design
Author: Toby J. Teorey
Publisher: Elsevier
Total Pages: 347
Release: 2011-02-10
Genre: Computers
ISBN: 0123820219

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Database Modeling and Design, Fifth Edition, focuses on techniques for database design in relational database systems. This extensively revised fifth edition features clear explanations, lots of terrific examples and an illustrative case, and practical advice, with design rules that are applicable to any SQL-based system. The common examples are based on real-life experiences and have been thoroughly class-tested. This book is immediately useful to anyone tasked with the creation of data models for the integration of large-scale enterprise data. It is ideal for a stand-alone data management course focused on logical database design, or a supplement to an introductory text for introductory database management. 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

Principles of Database Management

Principles of Database Management
Author: Wilfried Lemahieu
Publisher: Cambridge University Press
Total Pages: 817
Release: 2018-07-12
Genre: Computers
ISBN: 1107186129

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Introductory, theory-practice balanced text teaching the fundamentals of databases to advanced undergraduates or graduate students in information systems or computer science.