This chapter develops a global conceptual schema and a set of SQL tables for a relational database, given the requirements specification for a retail store database.
Since the relevant resemblances are relational, there is no requirement that representations share properties other than abstract relational properties with their representeds.
The relational database also integrates the requirements of a manufacturing execution system within the multi-agent task structure, which is unique to this architecture.
Several different types of DBMS have been developed to support these requirements: flat, hierarchical, network, relational, and object-oriented.
In several cases, NoSQL databases proved to outclass in terms of performance, scalability, and ease of use relational database management systems, meeting the requirements of a variety of today ICT applications.
The methodology consists of four stages: requirements gathering; database analysis; multilevel relational logical design; and specific logical design.
Like the Fourth Normal Form rule, which is only useful when many-to-many relationships are involved, the Fifth Normal Form rule is generally considered applicable for use with only the most expansive data sets, far exceeding the requirements of the majority of relational databases.
We might broaden the notion of "event" by removing the requirement that it must be relational, taking place in a space-time context.
With the explanatory requirement out of the way and the membership requirement satisfied, Okasha concludes that species have relational essences.
