How to Use erwin Data Modeler 9.5 to Design and Deploy High-Quality Data Assets

erwin Data Modeler 9.5 is an industry-leading data modeling tool that helps you find, visualize, design, deploy and standardize high-quality enterprise data assets. Whether you need to work with relational, NoSQL or Big Data databases, data warehouses or
data lakes, erwin Data Modeler 9.5 can help you achieve data fluency and governance across your organization.


In this article, we will show you how to use erwin Data Modeler 9.5 to create and manage data models for different data sources and platforms. We will also highlight some of the new features and benefits of erwin Data Modeler 9.5 that make it a powerful
and versatile tool for data modeling.

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Creating Data Models with erwin Data Modeler 9.5

erwin Data Modeler 9.5 allows you to create conceptual, logical, physical, dimensional and NoSQL data models using a graphical user interface. You can also reverse-engineer existing databases or DDL scripts to generate data models automatically.


To create a new data model, you need to follow these steps:



Select File > New > Model from the main menu.
Choose the type of model you want to create (e.g., Logical/Physical) and click Next.
Select the database platform you want to use (e.g., Oracle) and click Next. Enter a name and description for your model and click Finish.


You can now start adding entities, attributes, relationships and other objects to your model using the toolbar, the palette or the context menu. You can also use the Model Explorer to navigate and organize your model objects.


Deploying Data Models with erwin Data Modeler 9.5

Once you have created your data model, you can deploy it to a database or generate a DDL script using erwin Data Modeler 9.5. You can also compare and synchronize your model with an existing database or another model to ensure consistency and accuracy.


To deploy your data model, you need to follow these steps:



Select Database > Forward Engineer from the main menu.
Select the target database connection or create a new one and click Next. Select the objects you want to deploy and click Next.
Review the DDL script that will be executed and click Finish.


Alternatively, you can select Database > Generate DDL File from the main menu to save the DDL script as a file without executing it.




New Features and Benefits of erwin Data Modeler 9.5

erwin Data Modeler 9.5 introduces several new features and enhancements that make it a more powerful and versatile tool for data modeling. Some of these features are:



Mart on Cloud: A pure SaaS solution that allows you to store and share your data models in a secure cloud repository. You can access your models from anywhere using a web browser or a desktop client.
NoSQL Support: A new option that enables you to create and manage data models for NoSQL databases such as MongoDB, Cassandra and Couchbase. You can also transform ERD structures into JSON-like documents.
Snowflake Support: A new option that enables you to create and manage data models for Snowflake, a cloud-based data warehouse platform. You can also auto-document existing schema into reusable models.
Azure Support: A new option that enables you to create and manage data models for Microsoft Azure SQL Database, Azure SQL Data Warehouse and Azure Cosmos DB.
Data Intelligence Integration: A new feature that allows you to integrate your data models with erwin Data Intelligence by Quest, a data governance and intelligence platform that provides data cataloging, lineage, impact analysis and business glossary
capabilities.


These features and benefits make erwin Data Modeler 9.5 a comprehensive solution for designing and deploying high-quality data assets across different data sources and platforms.


Conclusion

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