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Database Modeling and Design
  • Language: en
  • Pages: 390

Database Modeling and Design

This work has been revised and updated to provide a comprehensive treatment of database design for commercial database products and their applications. The book covers the basic foundation of design as well as more advanced techniques, and also incorporates coverage of data warehousing and OLAP (On-Line Analytical Processing), data mining, object-relational, multimedia, and temporal/spatial design.

Database Modeling and Design
  • Language: en
  • Pages: 352

Database Modeling and Design

  • Type: Book
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  • Published: 2011-02-10
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  • Publisher: Elsevier

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.

Physical Database Design
  • Language: en
  • Pages: 448

Physical Database Design

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 Min...

Database Design: Know It All
  • Language: en
  • Pages: 368

Database Design: Know It All

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 al...

Database Modeling & Design
  • Language: en
  • Pages: 304

Database Modeling & Design

Toby J. Teorey.

Database Modeling and Design
  • Language: en
  • Pages: 296

Database Modeling and Design

  • Type: Book
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  • Published: 2010-08-05
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  • Publisher: Elsevier

Database Modeling and Design, Fourth Edition, the extensively revised edition of the classic logical database design reference, explains how you can model and design your database application in consideration of new technology or new business needs. It is an ideal text for a stand-alone data management course focused on logical database design, or a supplement to an introductory text for introductory database management. This book 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. The t...

Data Mining: Know It All
  • Language: en
  • Pages: 477

Data Mining: Know It All

This book brings all of the elements of data mining 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 data mining and machine learning tactics ? from data integration and pre-processing, to fundamental algorithms, to optimization techniques and web mining methodology. The proposed book expertly combines the finest data mining 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...

Database Modeling and Design
  • Language: en
  • Pages: 292

Database Modeling and Design

Shows techniques for managing the complexity of database design using the ER model, a popular method for representing data requirements. Presents a complete set of semantic definitions and notations for ER models with computer screen illustrations of large, complex databases. Includes both logical and physical database design with an emphasis on the former. Annotation copyrighted by Book News, Inc., Portland, OR

Proceedings of the Board of Regents
  • Language: en
  • Pages: 498

Proceedings of the Board of Regents

None

Data Warehousing and Knowledge Discovery
  • Language: en
  • Pages: 551

Data Warehousing and Knowledge Discovery

This book constitutes the refereed proceedings of the 7th International Conference on Data Warehousing and Knowledge Discovery, DaWak 2005, held in Copenhagen, Denmark, in August 2005. The 51 revised full papers presented were carefully reviewed and selected from 196 submissions. The papers are organized in topical sections on data warehouses, evaluation and tools, schema transformations, materialized views, aggregates, data warehouse queries and database processing issues, data mining algorithms and techniques, association rules, text processing and classification, security and privacy issues, patterns, and cluster and classification.