By Thomas M. Connolly

This best-selling textual content introduces the speculation at the back of databases in a concise but accomplished demeanour, supplying database layout technique that may be utilized by either technical and non-technical readers. The technique for relational Database administration structures is provided in easy, step by step directions at the side of a lifelike labored instance utilizing 3 specific phases—conceptual, logical, and actual database design.

Background: Introduction to Databases; Database atmosphere; Database Architectures and the internet. The Relational version and Languages: The Relational version; Relational Algebra and Relational Calculus; SQL: info Manipulation; SQL: facts Definition; Query-By-Example (QBE). Database research and layout: Database approach Lifecycle; Database research and the DreamHome Case research; Entity–Relationship Modeling; greater Entity–Relationship Modeling; Normalization; complicated Normalization. Methodology: Methodology—Conceptual Database layout; Methodology—Logical Database layout for Relational version; Methodology—Physical Database layout for Relational Databases; Methodology—Monitoring and Tuning the Operational process. Selected Database matters: Security and management; expert, felony, and moral matters; Transaction administration; question Processing. Distributed DBMSs and Replication: Distributed DBMSs—Concepts and layout; allotted DBMSs—Advanced thoughts; Replication and cellular Databases. Object DBMSs: Object-Oriented DBMSs—Concepts and layout; Object-Oriented DBMSs—Standards and Languages; Object-Relational DBMSs. Web and DBMSs: Web know-how and DBMSs; Semistructured info and XML. Business Intelligence applied sciences: Data Warehousing techniques; info Warehousing layout; OLAP; info Mining. Appendices: Users' specifications Specification for DreamHome Case examine; different Case reports; replacement info Modeling Notations; precis of the Database layout method for Relational Databases; advent to Pyrrho—A Liteweight RDBMS. Web Appendices: File association and garage buildings; while Is a DBMS Relational?; advertisement DBMSs: entry and Oracle; Programmatic SQL; Estimating Disk house necessities; creation to Object-Orientation; instance net Scripts.

This ebook is perfect for readers attracted to database administration or database layout.

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Sample text

Chapters 12 and 13 cover the concepts of the Entity–Relationship (ER) model and the Enhanced Entity–Relationship (EER) model, which allows more advanced data modeling using subclasses and superclasses and categorization. The EER model is a popular high-level conceptual data model and is a fundamental technique of the database design methodology presented herein. The reader is also introduced to UML to represent ER diagrams. Chapters 14 and 15 examine the concepts behind normalization, which is another important technique used in the logical database design methodology.

For the inexperienced designer, it is expected that the steps will be followed in the order described, and guidelines are provided throughout to help with this process. For the experienced designer, the methodology can be less prescriptive, acting more as a framework or checklist. To help the reader use the methodology and understand the important issues, the methodology has been described using a realistic worked example, based on an integrated case study, DreamHome. In addition, three additional case studies are provided in Appendix B to allow readers to try out the methodology for themselves.

For the experienced designer, the methodology can be less prescriptive, acting more as a framework or checklist. To help the reader use the methodology and understand the important issues, the methodology has been described using a realistic worked example, based on an integrated case study, DreamHome. In addition, three additional case studies are provided in Appendix B to allow readers to try out the methodology for themselves. UML (Unified Modeling Language) Increasingly, companies are standardizing the way in which they model data by selecting a particular approach to data modeling and using it throughout their database development projects.

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