Database Principles Fundamentals Of Design Implementation And Management Free UPD Pdf
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This book provides a step-by-step guide to using the UML standard (Unified Markup Language) in the construction of a data model, whether it is an implementation of a relational, object-relational, or object-oriented database. The author takes the reader through all stages of the design process, from requirements analysis to the generation of a database schema.
The fourth principle is that the absence of information is as important as the presence of incorrect data. Not all data must be present in a database. If a particular attribute is not needed in a report or for a decision-making process, it should not be included in the database. This principle helps you avoid designing databases that are too large, which makes you wonder if the database will ever be finished, and which makes it difficult to create reports and apply complex queries.
The fifth principle is that information should be complete. By this, the author means that all information that is needed to make a decision should be available in the database. Any information you need to make a decision should be in the database, not in a separate document or spreadsheet.
The sixth principle is that you should use only appropriate data. Data that is not needed for a particular decision should not be stored in the database. For example, if a report is only needed once a week, then it is probably not a good idea to store the entire report in a database. The same is true for any information that is unlikely to be needed.
The third principle is that data should be normalized. Data in a relational database is often stored in tables, which are made up of columns and rows. This is called the relational model. A data model is a set of related tables, which are often visualized in a graphical representation such as entity-relationship diagrams.
The last principle is that you should use a coherent database. When you use the database to perform a particular task, you should end up with a result that is correct and useful. Consequently, information that is relevant for the task should be stored only in the tables that are used for that task. For example, if you want to perform a search in the database, you should only include the data that is relevant to the search, and that search should produce the results that are needed.
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Some applications, such as Java, require that the application directories and libraries are updated to a newer version before the user can update. However, there are some applications that are not explicitly API-specific, such as the X Window System, the X server source code, are automatically updated as required.
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