Ready to Purchase Includes first year of maintenance. Enterprise Model Management Forward and Reverse Engineering Generate physical data models from existing database designs. Automate model reviews and enforce standards by validating for missing object definitions, unused domains, identical indexes and circular relationships.
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Collaborate on Global Glossary Terms Define business-area specific glossaries with rollups to higher level glossaries to reflect the vieweer structure, and bind glossaries to data models. Predefined Enterprise Data Dictionary eliminates data redundancy and enforces data element standards. Establish a Foundation for Data Governance Establish a data strategy based on a centralized model and metadata hub. Easily set permissions for access controls.
Display mappings between logical entities and attributes to their implementation across physical designs. Define business-area specific glossaries with rollups to higher level glossaries to studuo the corporate structure, and bind glossaries to data models.
Easily apply design changes with formulated alter code. Other product variants may be available, please stusio us or request a call back if you cannot see what you are looking for.
Streamline security administration with local or LDAP groups improving productivity and reducing errors. You can also integrate model elements into reusable constructs via a built-in enterprise data dictionary.
Consolidate information studuo easy-to-understand reports for business analysts. Using industry standard notations, data modelers can create a metadata hub by importing, analyzing, and repurposing metadata from data sources such as business intelligence applications, ETL environments, XML documents, and other modeling solutions.
Some key activities that may be needed include: Represent master data and transactional concepts with multiple entities and relationships, such as products, customers, and vendors.
Data architects can also define Business Data Objects BDOs in the logical and physical models to represent master data and transactional concepts with multiple entities and relationships, such as products and sttudio. Define and enforce standard data elements, naming standards and reference values for use across and between data models.
News and Events News Events. Automatically create highly readable, highly navigable diagrams with one or a combination of layouts.
ER/Studio Viewer Overview - CNET
Easily edit text in data object fields, with integrated spell-checking, embedded hyperlinks, and text wrapping.
Create effective data models to build a business-driven data architecture Document and enhance existing databases to reduce redundancy Implement naming standards to improve data consistency and quality Effectively share and manage data models across the enterprise Map data sources and trace origins to enhance data lineage.
Map between and within conceptual, logical and physical model objects to trace objects upstream or downstream, using the repository, and specify metadata such as definitions, notes, and attachments. Assign a naming standards template to models, submodels, entities and attributes for automatic application between logical and physical models. Build out an enterprise data model Represent business concepts with full documentation of attributes, definitions, relationships, etc.
Automate tedious, routine tasks such as coloring tables, enforcing and applying naming standards, globally update storage parameters and integrate with desktop applications. Assign and track tasks associated with data models to align changes to user stories and development workflows.
Datenblatt zu ER/Studio Data Architect Single Platform - Workstation von Embarcadero /
Allow creation of multi-leveled submodels, merge submodel properties across existing models and synchronize submodel hierarchies. View the relationships between the source and target, how the data flows from one table to another, and how the data is transformed. The whole team uses the same terms and descriptions which serve as the dr for business glossaries and data governance strategies.
Design Environment Advanced Graphics and Layout Automatically create highly readable, highly navigable diagrams with one or a combination of layouts Automated and Custom Transformation Streamlines the derivation of one or more physical designs from a logical one and checks for normalisation and compliance with the target database Rich Text Editing Easily edit text in data object fields, with integrated spell-checking, embedded hyperlinks, and text wrapping.
ER/Studio Enterprise Team Edition
Share Models and Metadata across the Enterprise Save conceptual, logical and physical data models in the Repository, publish them in Team Server for others to view, stduio set permissions for visibility of objects.
Business and technical team members can view and update the business terms to share corporate knowledge in one centralized location. Construct graphical models from existing database or schema, for both relational and big data platforms.
Data modelers and architects along with business and IT stakeholders must respond to multiple levels of data-related business needs, to help ensure that the business makes ciewer decisions with the right information.
Leverage complex star and snowflake schema designs and support importing rich dimensional metadata from BI and data warehouse vkewer. Publishers Our key publishers: Ready to Purchase Includes first year of maintenance.