A sophisticated and user-friendly modeling and design platform tailored for modern needs, seamlessly blending exploration and innovation. Grasp the present, envision the future, and construct a dynamic model that is both robust and far-reaching. Your model will serve as a compass, empowering your vision, your team's goals, and your company's trajectory.

Modeling, Collaborating & Governance

Model Based Perspective Sets

Use the new 'Model Perspectives' technology to model and publish custom Enterprise Architect Perspectives, right from the diagram. Enterprise Architect has a rich interface, and this new technology allows you to tailor a focused user interface to suit your specific needs depending on your role and tasks. New model patterns have been included in the technology to help you get started, providing a solid base to customize your toolbars, ribbons, toolboxes, and diagram types based on a specific set (one or more) of security profiles.

The Perspectives Technology provides:

Model Patterns: Quickly get started with building custom perspectives using model patterns.
Model Perspectives Toolbox: Ready-to-use patterns provide access to out-of-box perspectives, technology set patterns, ribbon category elements, and ribbon group attributes.
Publish and Import Commands: Easily publish a Package as a Perspective and import a Package as a Perspective using commands added to the Specialize menu ribbons.
Internal Perspective Stereotype: Allows security groups to access existing perspectives as well as model-based perspectives.
Unload Perspective Workspaces: A command to unload previously loaded perspective workspaces.

APM, BCM, and TPM Accelerators

Enterprise Architect 17 ships with specialized model-based perspectives designed to accelerate Application Portfolio Management (APM), Business Capability Modeling (BCM), and Technology Portfolio Management (TPM).

These accelerators offer:

Focused Tools and Templates: Pre-configured perspectives tailored to APM, BCM, and TPM, providing the exact tools, templates, and workflows required for these critical areas.
Efficiency and Productivity: Accelerate project initiation and execution with perspectives that streamline processes and reduce setup time.
Best Practices Integration: Incorporate industry best practices into your modeling environment, ensuring robust and effective management of applications, business capabilities, and technology portfolios.

Instantly Activate Perspectives

Once activated, the custom perspective will immediately apply its changes to the model, modifying every user's UI and perspective based on their security group. This provides a powerful way to focus different security groups on different tasks, giving them the exact tools and technologies they need. Users have the option to switch between perspectives to achieve different views for different purposes.

Enhanced Customization and Extension

Model-based perspectives make it much easier to customize and extend existing technologies within Enterprise Architect. By leveraging model perspectives, you can:

Streamline Customization: Tailor the interface and tool-sets to specific roles and tasks, ensuring that users have access to the tools they need without unnecessary complexity.
Extend Technologies: Build on existing technologies by adding or modifying toolbars, ribbons, toolboxes, and diagram types to fit unique project requirements.
Role-Specific Interfaces: Create focused user interfaces that enhance productivity by aligning tools and functionality with the specific needs of different security groups.
Seamless Integration: Integrate new perspectives smoothly into your existing workflow, reducing the learning curve and increasing efficiency.
Dynamic Adaptability: Easily switch between different perspectives to adapt to changing project demands and ensure that all team members are working with the most appropriate tools and views.

Perspectives for Specific Groups

Enterprise Architect 17 also includes model-based perspectives tailored for specific professional groups, ensuring that each role has the tools and views needed to maximize productivity:

Software Engineers: Custom perspectives designed to support software development processes and tools.
Systems Engineers: Tailored interfaces for systems engineering tasks, ensuring efficient workflow management.
Data Modelers: Perspectives that focus on data modeling tools and techniques, enhancing data management and analysis capabilities.
Application Architects: Custom views and tools for designing and managing application architectures.
Business Architects: Perspectives that align with business architecture methodologies and tools, supporting strategic planning and analysis.
Technology Architects: Interfaces designed for technology architecture tasks, ensuring effective technology portfolio management.

Enterprise Architect 17’s model-based perspectives empower you to create a highly customized and efficient modeling environment, tailored to your organization's unique needs and enhancing overall productivity.

Working with Data Warehouse Schemas

Collaborative modeling, defining your enterprises Data Warehouse

Enterprise Architect 17 expands its database engineering support for Data Warehouse technologies. The MDG Technology for Data Warehouse Schema provides profiles to build schema for Data Warehouse technologies:

Support for dedicated Data Warehouse Databases:

• Amazon Redshift

• Azure Synapse

• Google BigQuery

• Snowflake

• Teradata

Hybrid / Analytical Databases and Platforms:

• Apache Hadoop

• Apache Spark

• Apache CouchDB

• MongoDB

• Pentaho

Traditional Databases that can be used for Data Warehousing:

• IBM DB2

• Firebird

• MS Access

• MySQL

• Oracle

• PostgreSQL

• SQL Server

• SQLite

The UML Profile for each Data Warehouse technology contains stereotypes for each construct of the selected technology created using the respective Data Definition Language (DDL).

The tagged values of the stereotypes captures the properties of the technology constructs.

Import existing DDLs to bring existing configurations of the data warehouse into your model. Generate out new DDL definitions for use in your Data Warehouse system.

Enterprise Data Warehousing

Unlock a standardized way to model and represent the concepts, elements, and relationships commonly found in data warehousing systems.

Data-centric projects of all sizes comprise cross-disciplinary teams, from high-level executives to data scientists and technology engineers. Using Enterprise Architect as a modeling platform, data stakeholders can integrate disparate ideas and ensure that projects deliver immediate and tangible business and technology value.

The data teams can model the strategic intent behind data capture, ingestion, visualization requirements, and data pipelines to create interlocking representations across multiple layers. The resulting models allow data stakeholders to understand, visualize, and manage data usage throughout the organization, including data management, governance, and security.

Data warehousing technology includes perspectives, model patterns, diagrams, and toolboxes.

The extensive set of data warehousing model patterns include:

• Policy Documents

• Audit documents

• Data Quality

• Data Lifecycles

• Data Roles and Responsibilities

• Data Glossaries

• Data Principles

• Internet of Things (IoT) Use Cases

• Internet of Things (IoT) Use Cases examples

• Internet of Things (IoT) Requirements

• Data science

Perspectives, Patterns and Toolboxes

Perspectives

Use the Data Warehousing Perspective to get views and models focused on modeling data warehouse pipelines without the distraction of other features. Setting the Data Warehousing Perspective ensures that the Data Warehousing diagrams, their toolboxes, and other relevant features of this Perspective will be available by default.

Model Patterns

The data warehousing patterns comprise a valuable set of templates and worked examples that you can use to get off to a flying start. The model patterns contain content you can inject into your model at the selected location in the project browser and start modeling it by extending or customizing it to your needs.

There are 3 sets of model patterns for IOT. Among which one set gives examples for key aspects of gathering data from IoT devices and other sources, ingesting it into data warehousing storage devices, and creating business intelligence visualizations for business stakeholders based on their requirements.

Data modelers and other stakeholders can use the model pattern, including enterprise data images, to represent data warehousing concepts.

The image sets include:

• Personally Identifiable Data images

• Internet of Things Images

• Data Storage Images

• Business Visualization Images

Download the image sets once into your model repository and use the images in suitable places in your model diagrams.

Diagrams and Toolboxes

The Data Warehousing technology allows you to create integrated traceable diagrams with a separate toolbox for each layer of Data warehouse design: Business, Strategy, Governance, Application, Technology, and Data. These diagrams and accompanying toolboxes provide clear differentiation between different types of elements in each layer.