By Toby J. Teorey
Database structures and database layout know-how have gone through major evolution in recent times. The relational facts version and relational database platforms dominate company purposes; in flip, they're prolonged by way of different applied sciences like facts warehousing, OLAP, and information mining. How do you version and layout your database program in attention of recent expertise or new enterprise wishes? within the largely revised fourth variation, you will get transparent reasons, plenty of very good examples and an illustrative case, and the particularly sensible suggestion you've got come to count number on-- with layout principles which are acceptable to any SQL-based approach . yet you will additionally get lots that will help you develop from a brand new database fashion designer to an skilled fashion designer constructing industrial-sized platforms. + a close examine the Unified Modeling Language (UML-2) in addition to the entity-relationship (ER) technique for information requisites specification and conceptual modeling--with examples during the booklet in either methods! + the main points and examples of the way to exploit info modeling innovations in logical database layout, and the transformation of the conceptual version to the relational version and to SQL syntax; + the basics of database normalization during the 5th basic shape; + functional insurance of the key concerns in company intelligence--data warehousing, OLAP for determination aid platforms, and information mining; + examples for the way to exploit the most well-liked CASE instruments to address advanced facts modeling difficulties. + routines that try realizing of all fabric, plus options for plenty of workouts.
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Extra info for Database Modeling and Design: Logical Design, 4th Edition
Knowledge-Based Configuration. 00002-5 © 2014 Elsevier Inc. All rights reserved. 1 A typical rule (paraphrased) in R1/XCON (McDermott, 1982). The condition part describes the current configuration context (configuration) and the action part includes actions to extend this configuration. Although very successful, R1/XCON had a major drawback: the chosen knowledge representation. , 1987). 1. , 1987). In other words, the outcome of the configuration process strongly depended on the ordering in which different rules were interpreted.
University of Hamburg, Hamburg, Germany † Oracle Abstract: In this chapter, we summarize challenges related to the implementation of mass customization. In this context, we discuss benefits that result from a successful deployment and application of configuration technologies. 1 Introduction Configuration is a key technology for successfully implementing mass customization (see Piller and Blazek, 20141 ). In this chapter, we take a look at key challenges in the context of mass customization and consequent benefits when using configuration technologies to address these challenges.
A case study in applying a product line approach for car periphery supervision systems. In: Proceedings of In-Vehicle Software 2001 (SP-1587), SAE 2001 World Congress, Detroit, Michigan, pp. 43–55. , 2010. Towards recommending configurable offerings. International Journal of Mass Customization 3 (4), 389–406. , 1998. Modelling configurable product families. In: Fourth WDK Workshop on Product Structuring, Delft, The Netherlands, pp. 29–50. , 1995. Does configuration management research have a future?