In this tutorial, you will use Data Modeler to create models for a simplified library database, which will include entities for books, patrons (people who have library cards), and transactions (checking a book out, returning a book, and so on).
This tutorial uses the same entities as for the tutorial provided with the SQL Developer online help. The model is deliberately oversimplified and would not be adequate for any actual public or organizational library. For more advanced tutorials and other materials, see Section 1.11, 'For More Information About Data Modeling'.
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If the instructions do not mention a particular dialog box, tab, or field, then do not specify anything for it.
This simplified tutorial uses only a subset of the possible steps for the Top-Down Modeling approach. (For information about the approaches, see Section 1.4, 'Approaches to Data Modeling'.)
You will perform the following major steps:
2.1 Develop the Logical Model
The logical model for the database includes three entities: Books (describes each book in the library), Patrons (describes each person who has a library card), and Transactions (describes each transaction involving a patron and a book). However, before you create the entities, create some domains that will make the entity creation (and later DDL generation) more meaningful and specific.
To start developing the logical model, go to Section 2.1.1, 'Adding Domains'.
2.1.1 Adding Domains
In planning for your data needs, you have determined that several kinds of fields will occur in multiple kinds of records, and many fields can share a definition. For example, you have decided that:
You therefore decide to add appropriate domains, so that you can later use them to specify data types for attributes when you create the entities. (These added domains will also be available after you exit Data Modeler and restart it later.)
2.1.2 Creating the Books Entity
The Books entity describes each book in the library. Create the Books entity as follows:
2.1.3 Creating the Patrons EntitySql Data Modeler
The Patrons entity describes each library patron (that is, each person who has a library card and is thus able to borrow books). Create the Patrons entity as follows:
2.1.4 Creating the Transactions Entity
The Transactions entity describes each transaction that involves a patron and a book, such as someone checking out or returning a book. Each record is a single transaction, regardless of how many books the patron brings to the library desk. For example, a patron returning two books and checking out three books causes five transactions to be recorded (two returns and three checkouts). Create the Transactions entity as follows:
2.1.5 Creating Relations Between Entities
Relations show the relationships between entities: one-to-many, many-to-one, or many-to-many. The following relationships exist between the entities:
Create the relationships as follows. When you are done, the logical model pane in the main area should look like the following figure. Note that for this figure, Bachman notation is used (you can change to Barker by clicking View, then Logical Diagram Notation, then Barker Notation).
2.2 Develop the Relational ModelOracle Modeler Download
The relational model for the library tutorial database consists of tables that reflect the entities of the logical model (Books, Patrons, and Transactions) and all attributes of each entity. In the simplified data model for this tutorial, a single relational model reflects the entire logical model; however, for other data models you can create one or more relational models, each reflecting all or a subset of the logical model. (To have a relational model reflect a subset of the logical model, use the 'filter' feature in the dialog box for engineering a relational model.)
Develop the relational model as follows:
2.3 Generate DDL
Generate Data Definition Language (DDL) statements that you can use to create database objects that reflect the models that you have designed. The DDL statements will implement the physical model (type of database, such as Oracle Database 11g) that you specify.
Develop the physical model as follows:
2.4 Save the Design
Save the design by clicking File, then Save. Specify the location and name for the XML file to contain the basic structural information (for example,
library_design.xml ). A directory or folder structure will also be created automatically to hold the detailed information about the design, as explained in Section 1.3.1, 'Database Design'.
Continue creating and modifying design objects, if you wish. When you are finished, save the design again if you have made any changes, then exit Data Modeler by clicking File, then Exit.
You can later open the saved design and continue working on it, as explained in Section 1.6, 'Saving, Opening, Exporting, and Importing Designs'.
Data Modeling is to define the data structure and flow of information systems for an enterprise or a business process. There are tools available for helping one to do data modeling. Here we review 6+ best data modeling tools in the business for your convenience. The data modeling tool is used in complex business transformation scenarios or to document existing systems. The tools needs to support the latest modeling language like UML 2.0 and XMI (XML Metadata Interchange).
Related:SAP Power Designer
This tool is from SAP a leading ERP vendor. This tool helps to document the complex information architecture and also understand the impact of the new changes needed. It allows the document to understand the new business process. It supports all the open standards like UML and XMI.
Navicat Data Modeler
This data modeler is a database design tool which is powerful and cost effective. It supports most available databases. It has an easy to use interface. It has many features like import/export, data modeling, creating scripts and entity models, reverse engineering to document legacy systems. It is used by large organizations.
SQL Developer Data Modeler
SQL Developer Data Modeler is a free graphical tool from Oracle which allows doing data modeling. The users can create, browse, read and edit logical, relational and multi dimensional data models. We can re-engineer the data models and create reports. It helps in collaborative development.
Data Modeler on Other Platforms
Data Modeler is available on a various platform so that user can use the platform of his choice. It will be available on most operating systems like Windows, Linux, and the Mac. Cloud based data modeler will work through a browser. Let us evaluate some other data modeler below.
ER/Studio Enterprise Team Edition for Windows
This tool is a neat data modeler and helps in data governance. It helps in documentation of the database structure from multiple databases and keeps the metadata for use. It can show the source and the interaction of the data. It supports advanced comparison and merge between databases.
Astah Data Modeler for Linux
This is a different version of tool available. This is a community edition which is free of cost and has basic features and also a priced one. The data modeler has standard features like diagram using UML or Entity Relationship and conversion between different workflow charts. It integrates wilth languages like JAVA and C#.
No Magic
This is an award winning UML business process and system modeling tool. It is easy to use and provides free support. It is useful for every person in the IT department. It has good documentation capabilities using the latest version of UML and one can have workflow diagrams. It supports configuration management.
Most Popular Data Modeling Tool – Toad Data Modeler
Toad Data Modeler is one of the oldest and most popular software available from DELL. It worked well with Oracle but it is now available with most databases too. It creates documentation on various platforms. It builds simple to complex entity relationship models and creates the script for the same. We can migrate the structure from one database to another.
What is Data Modeler Tool?Toad Data Modeler Tutorial
A Data Modeler Tool allows you to document the logical, physical and conceptual models. It is to document the workflow of a business process and then convert into a data model for the information system. It can document the current legacy system and then see the impact on modifications. You can also see Data Mining Software
The tools help in forward engineering and reverse engineering. The tool can be used to create the scripts of the models which help in creation of the database. We can compare the databases and synchronize the databases. It helps in data governance and especially for legal requirements. The tool helps in business transformation and save in standard format like UML and XMI.
The 6+ Data Modeler tools are the best tools available in the industry. You can download, evaluate and try the software before you buy the software. It greatly enhances the productivity of the various people in the IT system and can act as a bridge between Business and IT by using a common language.
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