Building the Logical Model in Software

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Building the Logical Model
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In Part III, we get to the actual building of the model By this time, you will have a grasp of the requirements and it will be time to translate them into the model We will walk you through the thought process you go through when building a model and translate the requirements from Mountain View Music
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Creating the Logical Model
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The first step in building the logical model is to sit down and create the model from the requirements This is the bulk of the work of building the logical model In 7, Creating the Logical Model, we look at how
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The Process of Data Modeling
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you determine which entities your model will need and how these entities are related In addition we look at the attributes you need and explain how to determine which type of data the attributes will store We also go over the diagramming method used in building the model There are many techniques for creating the data diagram, but we stick to one method throughout this project
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Common Modeling Problems
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In 8, Common Data Modeling Problems, we look at several common traps that are easy to fall into when you build your model There are many ways to build a logical model, and no single method is always the correct one However, there are many practices that are always wrong, and you can avoid them Many aspects of data modeling are counterintuitive, and following your intuition can lead to some of these problems We go through these problems and talk about why people fall into these traps, how you can avoid them, and the appropriate ways to work around them Additionally, we look at a few things, such as subtype and supertype modeling, that aren t necessarily problems but can be tricky
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Building the Physical Model
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Once you have the logical model hammered out, you translate it into a physical model, and we turn to that topic in Part IV A physical model is made up of the tables and other physical objects of your RDBMS Much of the work of creating your database has been completed during the logical modeling, but that doesn t mean you should take the physical model lightly Logical models are meant to map to logical, real-world entities, whereas the physical model defines how the data will be stored in the database At this point the focus is on ways to store data in the database to meet the business requirements for data retrieval This is where an intimate knowledge of the specific RDBMS system is invaluable
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Creating the Physical Model
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The first step is to create the model In 9 we look at how you determine which tables and keys you need based on your logical model In some cases you will end up with more than one table to represent a single logical entity, whereas in other cases you will roll up multiple entities onto a single table
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Data Modeling Overview
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Additionally, you will probably end up with tables that contain data not represented in your logical model We call these supporting tables They are used to support the use of the database but do not necessarily store data that the business cares about Supporting tables might be lookup tables or tables to support application code, or they might support business rules For example, suppose that the business requires that all users belong to a group, and their group membership determines the access they have in an application This security model can be stored in tables and referenced by the application Except for these differences, building the physical model is similar to building the logical model You still need to determine the needed tables, columns, primary keys, and foreign keys, and diagram them in a model SQL Server has other objects in addition to tables Objects such as views, stored procedures, user-defined functions, user-defined data types, constraints, and triggers can also be used in your physical model We look at these objects in detail in 3, and we describe how to build a physical model in 9, Creating the Physical Model with SQL Server
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