HOPEX Data Governance > Data Architecture and Tools > Modeling Data dictionaries
Modeling Data dictionaries
 
Logical Data Modeling Options
Formalisms
Notations
Overview of Logical Data
Data Dictionary
Data Domain Map
Logical Data Domain
Logical Data View
Data Model
Data Dictionary
Elements of a Data Dictionary
Data Domain Map
Creating a Data Domain Map
Components of a Data Domain Map
Logical and Application Data Domains
Creating a Data Domain
The Data Domain Diagram
Adding a Component to a Data Domain
Logical Data View
Creating a logical data view
Displaying source objects in the data view
Defining the Data View Components.
Class Diagram
Creating a Package
Creating a Class Diagram
Datatypes
Data type packages
Creating a New Datatype Package
Referencing Datatype Packages
Assigning Types to Attributes
Data Model
Summary of Concepts
Building a data model
Entities
Attributes
Associations
Reflexive Associations
“N-ary” Association
Constraints
Normalization Rules
Generalizations
Entity Identifier
Data Model Mapping
IDEF1X Notation
Prerequisite
About Data Modeling with IDEF1X
Concept Synthesis for Data Modeling (IDEF1X)
Creating a Data Model (IDEF1X)
Entities (IDEF1X)
Associations (IDEF1X)
Categorization Relationships (Generalizations) - (IDEF1X)
I.E. Notation
Prerequisite
About Data Modeling with I.E.
Concept Synthesis for Data Modeling (I.E)
Creating a Data Model (I.E)
Entities (I.E.)
Associations (I.E)
Sub-types (I.E)
The Merise Notation
Prerequisite
About Data Modeling (Merise)
Concept Synthesis for Data Modeling (Merise)
Creating a Data Model (Merise)
The entities (Merise)
The associations (Merise)
Attributes (Information) - Merise
Normalization Rules (Merise)
Refining Data Model Specification (Merise)
Sub-typing (Merise)
Company organizers and architects can describe operations using HOPEX Data Governance and HOPEX Information Architecture by modeling data used when implementing business processes and applications. To this end, HOPEX Data Governance et HOPEX Information Architecture make available a number of tools and notations.
Using logical data models, you can build corresponding physical models, that is, create database tables, with its columns, indexes and keys as well as the relational diagram drawings. See Synchronizing logical and physical models.
You can also inventory applications that use the modeled logical data. See Use of Data by the Information System.