ER/Studio Data Architect provides robust logical, physical, and data dictionaries. It also supports forward and reverses engineering. Organizations can make better business decisions by using data modeling to help them interpret rapidly changing data and make more informed decisions. You can model data from relational, NoSQL, and big data sources. IDERA ER/Studio Data Architect can help you design and manage your logical and physical data models, regardless of whether you're starting from a conceptual diagram.
Data architects and data modelers are responsible for interpreting the requirements of critical data assets from various stakeholders into workable designs. This is done within a data governance framework. Data architecture and robust functionality are essential to ensure that the following tasks are faster, easier, more precise, and more collaborative, no matter if you're creating a new model using a conceptual model or changing an existing asset through reverse engineering.
ER/Studio Data Architect allows data modelers and architects to create and manage multiple data models across different data platforms. It offers the most comprehensive data platform support and industry-leading enterprise-level capabilities.
IDERA ER/Studio Software Architect Great Features:
Extensive Database Platform Support
Access and manage models for multiple relational and big data platforms, both on-premises and in the cloud. Extensive platform support is enabled through native and database-specific ODBC connections.
Forward and Reverse Engineering
Generate physical data models from existing database designs. Construct graphical models from existing databases or schema for both relational and big data platforms. Easily apply design changes with formulated alter code.
Data Dictionary Standardization
Define and enforce standard data elements, naming standards, and reference values for use across and between data models.
Advanced Compare and Merge
Enable advanced, bidirectional comparisons and merges of model and database structures.
Business Data Objects
Represent master data and transactional concepts with multiple entities and relationships, such as products, customers, and vendors.
Allow creation of multi-leveled submodels, merge submodel properties across existing models, and synchronize submodel hierarchies.
Assign naming standards to template models, submodels, entities, and attributes for automatic application between logical and physical models.
Automatic Migration of Foreign Keys
Maintain foreign keys to ensure referential integrity in database designs.
”Where Used” Analysis
Display mappings between logical entities and attributes to their implementation across physical designs.
Model Completion Validation
Automate model reviews and enforce high-quality data standards by validating missing object definitions, unused domains, identical indexes, and circular relationships.
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