IDERA’s ER/Studio Enterprise Team edition provides the fastest, easiest, and most collaborative way for data management professionals to build and maintain enterprise-scale data models and metadata repositories. Built-in facilities automate routine modeling tasks so users can analyze and optimize database and data warehouse designs faster than ever.
Model change management provides the ability to create and track tasks associated with data models in order to enable data architects to ensure their models stay aligned with database and application development efforts using an Agile workflow.
With a repository-based model management system and Team Server web interface, IDERA’s ER/Studio Enterprise Team edition provides the most productive way to share, document, and publish your models and metadata to distributed teams.
For more information check out: https://www.idera.com/er-studio-data-architect-software/overview
Data architects need to ensure that everyone in the organization understands what the data is and can explain it in business terms. Data Architect provides an easy-to-use visual interface to document, understand, and publish information about data models and databases so they can be better harnessed to support business objectives.
Import and reverse-engineer content from multiple data sources and integrate the elements into reusable constructs with an enterprise data dictionary. Document existing databases to allow reuse of common data elements and structures, for better support of business objectives.
Assign a naming standards template to your model, submodel, entities, and attributes. Those naming standards will be applied automatically between the logical and physical models, simplifying the modeling process and ensuring consistency between models. Track model changes associated with agile workflows.
The multi-level design layers in ER/Studio Data Architect allow for the accurate visualization of data, which promotes communication between business and technical users. Manage model version control and share data assets in the repository. Create and track tasks and view changes to data models aligned to agile workflows.
Universal mappings and data lineage provide the connections between models and data sources for traceability. With a clear understanding of where data originated and where it is used, organizations can be assured that they know what their data actually means and how it can best be utilized.
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