By Christian Mancas

This new booklet goals to supply either newcomers and specialists with a totally algorithmic method of information research and conceptual modeling, database layout, implementation, and tuning, ranging from imprecise and incomplete shopper requests and finishing with IBM DB/2, Oracle, MySQL, MS SQL Server, or entry dependent software program purposes. A wealthy panoply of recommendations to real precious facts sub-universes (e.g. company, collage, public and residential library, geography, background, etc.) is supplied, constituting a robust library of examples.

Four information versions are provided and used: the graphical Entity-Relationship, the mathematical EMDM, the actual Relational, and the logical deterministic deductive Datalog ones. for every considered one of them, top perform ideas, algorithms, and the speculation underneath are sincerely separated. 4 case experiences, from an easy public library instance, to a fancy geographical research are totally offered, on all wanted levels.

Several dozens of real-life routines are proposed, out of which at the least one consistent with bankruptcy is totally solved. either significant ancient and up to date references are supplied for every of the 4 facts versions considered.

The booklet offers a library of beneficial suggestions to real-life difficulties and gives useful wisdom on facts research and modeling, database layout, implementation, and tremendous tuning.

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Extra info for Conceptual data modeling and database design : a fully algorithmic approach. Volume 1, The shortest advisable path

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V. (2011). , Data Management Systems; Morgan Kaufmann: Burlington, MA. Maier, D. (1983). The Theory of Relational Databases. Computer Science Press: Rockville, MD. Mancas, C. (1985). Introduction to a data model based on the elementary theory of sets, relations and functions (in Romanian). In Proc. I. Cuza University, Iasi, Romania. Data, Information and Knowledge in the Computer Era 33 Mancas, C. (1990). A Deeper Insight into the Mathematical Data Model. Proc. 13th Intl. Seminar on DBMS, ISDBMS’90, 122–134, Mamaia, Romania.

Are modifying and/or querying instances. For example, such a stored view could compute, in alphabetic order, the set of triples ; a stored trigger could automatically add to STATES an “UnknownState” whenever a new country is added to COUNTRIES; a stored procedure might compute the number of states, the corresponding number of cities, as well as their total number for any country given to it as a parameter. Beware of notational abuses, as, for example, instances are often referred to also as “databases”.

This means that only part of the existing business rules may be enforced through them and for the rest we have to develop software applications built on top of the corresponding databases. On the other hand, just as starting to directly write Java (or C# or whatever other PL) code, immediately after getting some desired software application requirements, without proper problem analysis, software architecture and design is a huge mistake, starting to directly create tables in a database on a RDBMS is an even greater one: databases are the foundations of db software applications.

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