A contact object groups the various types of related contact information. Each contact object can be associated with multiple email, location, URL, and telephone objects. Conversely, each email, location, URL, and telephone object can be associated with many contact objects.
See also Section 3. A document object represents externally stored descriptive information about some aspects of the modeled system. A document object can be associated with one or more model objects. An email object identifies a single electronic mail address.
Through the use of a contact object, you can associate an email address with one or more responsible parties. The sequence of email objects for a contact might be used to represent the order in which to try email addresses in attempting to communicate with a contact. A location object identifies a single physical location. Through the use of a contact object, you can associate a location with one or more responsible parties. The sequence of contact objects for a location might be used to represent the order in which to try contacting a person or group associated with a location.
A resource locator object provides a general means for describing a resource whose location is not defined by a traditional mailing address. For example, a resource locator could refer to anything from a Web address such as "www. A responsible party object represents a person, role, or organization that has a responsibility for, or should receive information about, one or more model objects. The precise meaning of the "responsibility" of a responsible object depends on the specific system being implemented.
A telephone object represents telephone contact information. A telephone object can be associated with one or more contacts. When modeling data, you can choose an approach best suited to the nature of the work to be done. The approaches to data modeling include the following: designing a new database, developing a design for an existing database, or performing maintenance on an existing database design. Bottom-Up Modeling : for creating a database based on extracting metadata from an existing database or using the DDL code obtained from an implementation of an existing database.
Top-down modeling gathers information about business requirements and the internal environment, and proceeds to define processes, a logical model of the data, one or more relational models, and one or more physical models for each relational model. The steps and information requirements can range from simple to elaborate, depending on your needs. Top-down modeling can involve the following steps, but you can abbreviate or skip steps as appropriate for your needs. Create documents.
In the object browser, right-click Logical and select Properties , then click Documents and add items as appropriate. Create responsible parties with contacts, e-mail addresses, locations, telephone numbers, and locations. In the object browser, right-click Logical and select Properties , then click Responsible Parties and add items as appropriate.
Define any other information. In the object browser, right-click Logical and select Properties , then modify other properties Naming Options, Comments, Notes as needed. Develop the process model , using a data flow diagram. Create processes. For each process, click the New Process icon, click in the data flow diagram window, and enter information in the Process Properties dialog box.
Create external agents. For each external agent, click the New External Agent icon, click in the data flow diagram window, and enter information in the External Agent Properties dialog box.
Create information stores. For each process, click the New Information Store icon, click in the data flow diagram window, and enter information in the Information Store Properties dialog box. Create flows with information structures. For each flow, click the New Flow icon, click the starting object such as a process in the data flow diagram window, and click the ending object for the flow; then double-click the flow arrow and modify information as needed in the Flow Properties dialog box.
Create entities , and for each entity its attributes and unique identifiers. You can create all entities first and then the attributes and unique identifiers for each, or you can create the first entity with its attributes and unique identifiers, then the second, and so on. To create an entity, click the Logical tab, click the New Entity icon, click in the logical model window, and enter information in the Entity Properties dialog box. You can also enter attributes and unique identifiers using the appropriate panes in this dialog box.
Create relations between entities. Click the entity for the start of the relation, and click the entity for the end of the relation; then double-click the relation line and modify information as needed in the Relation Properties dialog box. Apply design rules to the logical model.
Click Tools , then Design Rules , and use the Design Rules dialog box to check for and fix any violations of the design rules. Forward engineer the logical model to a relational model. Click Design , then Engineer to Relational Model , and use the Engineering dialog box to generate a relational model reflecting all or a specified subset of objects from the logical model.
Develop one or more relational models , doing the following for each as needed. Split tables. To split one table into two, select the table on the relational model diagram, and either click the Split Table button or click Object , then Relational , then Split Table. Merge tables. To merge a table into another table removing the merged table , either click the Merge Table button or click Object , then Relational , then Merge Tables.
Then, in the relational model diagram, first the table into which to merge columns from the other table, and next select the other table whose columns are to me merged. After the merge, the second table will be removed. Check design rules for the relational model. Click Tools , then Design Rules. Develop one or more physical models for each relational model , doing the following for each.
Check design rules for the physical model. Generate DDL code, which can be used to generate the actual database objects. Bottom-up modeling builds a database design based on either metadata extracted from an existing database or a file with DDL code that implements an existing database. The resulting database is represented as a relational model and a physical model, and you reverse engineer the logical model from the relational model.
Bottom-up modeling can involve the following steps, but you can abbreviate or skip some steps as appropriate for your needs. Extract metadata directly from an existing database: click File , then Import , then Data Dictionary ; then follow the instructions for the wizard see Data Dictionary Import Metadata Extraction. Import DDL code that reflects an existing database implementation. As needed, modify the relational model and create additional relational models. As needed, denormalize the relational model or models.
Perform the following steps iteratively, as needed. Check the design rules for the model. To view the design rules, click Tools , then Design Rules ; select the desired relational model; and use the Design Rules dialog box. Reverse engineer the logical model from a relational model. Check design rules for the logical model. Generate DDL code , and use it to create the database implementation. Depending on the kind of changes necessary, you can start with the logical model, one or more relational models, or one or more physical models, and then forward engineer or reverse engineer as appropriate.
For each logical model object entity, attribute, relation, and so on that you want to modify, modify its properties. For example, to add an attribute to an entity:. Double-click the entity's icon in the Logical diagram or right-click the entity name in the object browser and select Properties. In the Entity Properties dialog box, click Attributes.
When you are finished modifying the logical model, forward engineer the changes to the relational model or models by clicking the Logical pane and clicking Design , then Engineer to Relational Model. In the Engineering dialog box, specify any desired filtering, then click Engineer. For each relational model object table, column, and so on that you want to modify, modify its properties. For example, to add a column to a table in a relational model:.
Double-click the table's icon in the diagram for the relational model or right-click the table name in the object browser and select Properties. In the Table Properties dialog box, click Columns. When you are finished modifying the relational model, reverse engineer the changes to the logical model by clicking the pane for the relational model and clicking Design , then Engineer to Logical Model. Many preferences are self-explanatory, and this topic explains only those whose meaning and implications are not obvious.
The preferences are grouped in the following categories:. Default Designs Directory : The default directory or folder from which to open a design or in which to create a design. Default Import Directory : The default directory or folder from which to import designs.
The window contains informational messages and any warning or error messages. Show "Select Relational Models" Dialog : Controls whether the dialog box for selecting relational models to be included is displayed when you open a Data Modeler design.
If this option is disabled, all relational models are included by default when you open a Data Modeler design. Show Properties Dialog on New Object : Controls whether the Properties dialog box for objects of that type is displayed when you create a new model object. Columns and Attributes Defaults: Nulls Allowed : Controls whether new columns and attributes are allowed to have null values. If this option is disabled, new columns and attributes are by default mandatory value required.
Relation Cardinality: Source Optional : Controls whether the source entity in a relationship must, by default, contain one or more instances. If this option is enabled, source instances are not required for all relationship types; if this option is disabled, one or more source instances are required for all relationship types.
Relation Cardinality: Target Optional : Controls whether the target entity in a relationship must, by default, contain one or more instances. If this option is enabled, target instances are not required for all relationship types; if this option is disabled, one or more target instances are required for all relationship types.
Use and Set First Unique Identifier as Primary Key : Controls whether, by default, the first unique identifier attribute is set as the primary unique identifier when you create an entity. To be able to specify some other name, deselect this option. Delete FK Columns Strategy : Specifies what Data Modeler should do when you attempt to delete a table that has one or more generated foreign key columns columns in other tables pointing to it: delete the foreign key columns, do not delete the foreign key columns, or ask to confirm the foreign key column deletions.
Your choice for this option determines what happens to the Transactions. Default Foreign Key Delete Rule : Specifies what happens if a user tries to delete a row containing data that is involved in a foreign key relationship:.
No Action causes an error message to be displayed indicating that deletion is not allowed; the deletion is rolled back. Cascade deletes all rows containing data that is involved in the foreign key relationship. Set Null sets the value to null if all foreign key columns for the table can accept null values. Contains options that apply to a physical model. Different options apply to each supported type of database.
General: Show Grid : Controls whether a grid is displayed in the background on diagrams. Seeing the grid can help you to align objects vertically and horizontally on the diagram. General: Synchronize with Tree : Controls whether the focus on an active diagram is automatically moved to reflect the selection of objects under that model in the object browser. General: Diagram Color : Displays a dialog box for selecting the color scheme for the background on diagrams. General: Line Auto Route : Controls whether lines representing relations, foreign key relations, inheritances, flows, and other relationships are automatically drawn on diagrams.
If you deselect this option, you determine how these lines are drawn; for example, you may want to add or move break points manually, in order to enhance the clarity of your models. It has a centralized repository model which enable easy and simultaneously models collaboration. Visible Analyst software enables you to design e-business applications, develop a data warehouse, or integrate legacy systems with new enterprise applications.
This tool makes data analytics process simple. IBM InfoSphere Data Architect is a data modeling solution that simplifies and accelerate data integration design for business intelligence and statistics.
It is one of the best data modeling software that helps to align services, applications, data architectures, and processes. It is a database design and synchronization application which supports cross-platform and cross-database. You can use this tool to edit the database directly in the diagram you have created. DTM Data Modeler is a data management software program designed for database developers which support forward as well as reverse engineering.
This tool allows you to work with logical and physical data models. That allows you to create a database without wiring single SQL code. Resources Datasheet. Toad Data Modeler Create high-quality data models and easily deploy accurate changes to data structures.
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