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How to Use ER/Studio Data Modeling Tools for Enterprise Data Architecture


ER/Studio is a suite of data modeling and architecture tools that help you design, document, and govern your data assets. Whether you are working with relational, NoSQL, or big data sources, ER/Studio can help you create logical and physical data models, business process models, and enterprise metadata.


In this article, we will show you how to use ER/Studio Data Architect, one of the components of ER/Studio Enterprise Team Edition, to perform some common data modeling tasks. You will learn how to:


Create a new data model from scratch or reverse-engineer an existing database


Apply naming standards and data dictionary definitions to your model


Compare and merge changes between models and databases


Visualize data lineage and impact analysis


Publish your model and metadata to ER/Studio Team Server


By the end of this article, you will have a better understanding of how ER/Studio Data Architect can help you build a business-driven data architecture that supports data governance and innovation.


Creating a New Data Model or Reverse-Engineering an Existing Database


ER/Studio Data Architect allows you to create data models for various data sources and platforms, such as SQL Server, Oracle, MySQL, MongoDB, Hadoop, and more. You can either start from scratch by creating a new logical model and then generating a physical model from it, or you can reverse-engineer an existing database or schema into a graphical model.


To create a new logical model, you need to define the entities, attributes, and relationships that represent your business concepts and rules. You can use the Model Explorer pane to add and edit these objects, or you can use the Diagram window to drag and drop them onto the canvas. You can also use the Business Data Objects feature to group related entities into logical units, such as customers, products, or orders.


To generate a physical model from your logical model, you need to select the target database platform and version from the Model menu. ER/Studio Data Architect will then apply the appropriate data types, constraints, and options to your model based on the platform specifications. You can also customize these settings by using the Data Type Mapping Editor or the Database Options Editor.


To reverse-engineer an existing database or schema into a graphical model, you need to use the Reverse Engineer Wizard from the Tools menu. You will need to provide the connection details for your data source, such as the server name, database name, user name, and password. You can then select which objects you want to import into your model, such as tables, views, indexes, triggers, etc. ER/Studio Data Architect will then create a physical model based on the imported objects, and optionally generate a logical model from it.


Applying Naming Standards and Data Dictionary Definitions to Your Model


ER/Studio Data Architect allows you to apply naming standards and data dictionary definitions to your model to ensure consistency and clarity across your data assets. Naming standards are rules that define how your model objects should be named, such as using uppercase letters, underscores, prefixes, suffixes, etc. Data dictionary definitions are descriptions that explain the meaning and purpose of your model objects.


To apply naming standards to your model, you need to create or select a naming standards template from the Tools menu. A naming standards template is a file that contains the rules for naming different types of objects in your model. You can either use one of the predefined templates that come with ER/Studio Data Architect or create your own custom template by using the Naming Standards Template Editor.


To apply data dictionary definitions to your model, you need to create or select a data dictionary from the Tools menu. A data dictionary is a file that contains the descriptions for different types of objects in your model. You can either use one




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