Data Modeling
Find, visualize, design, deploy and standardize high-quality enterprise data assets. Discover and document any data from anywhere for consistency, clarity and artifact reuse across large-scale data integration, master data management, metadata management, Big Data, business intelligence and analytics initiatives – all while supporting data governance and intelligence efforts.
Benefits of the DeepQual data modeling tool
DeepQual data models reduce complexity, making it easier to design, deploy and understand data sources to meet business needs. DeepQual Data Modeler also automates and standardizes model design tasks, including complex queries, to improve business alignment, ensure data integrity and simplify integration. With DeepQual Data Modeler, users experience these benefits:
Visualization of any data from anywhere
See structured or unstructured enterprise data regardless of location – in a relational or NoSQL database, a data warehouse, whether on-premises or in the cloud – within a single interface..
Automated data model & database schema generation
Automatically generate data models and database designs to increase efficiency and reduce errors..
Centralized model development & management
An integrated view of conceptual, logical and physical data models helps business and technical stakeholders understand data structures and meaning.
Data literacy, collaboration & accountability
Improve data intelligence and decision-making across the enterprise by maximizing the ability of stakeholders to use, understand and trust relevant data.
Agile application development
Consolidate and build applications with hybrid architectures, including traditional, NoSQL and Big Data, in the cloud and on-premises.
Increased data quality
By using data models to define and deploy enterprise data standards, you’ll realize more consistency and higher quality in data management.Structures and meaning.
Reduced risks & costs
Automation and standardization of data definitions and structures reduces risks and costs, plus you can test changes and new applications before they go into production.
Increased data quality
Automated schema engineering and deployment accelerates and ensures successful adoption of cloud platforms, like Snowflake and Microsoft Azure, including auto documenting existing schema into reusable models.
Why data modeling is better with DeepQual
Modern, customizable modeling environment
Automate complex and time-consuming tasks for more effective database design, standardization, deployment and maintenance across all your database platforms. Visualize complex business and technical data structures, automatically generating data models in a single, intuitive interface.
Breadth of DBMS integrations & metadata bridges
Translate the technical format of the major cloud and on-premises database platforms into highly graphical models rich in metadata, thanks to built-in interfaces. erwin Data Modeler also provides out-of-the-box bridges for metadata exchange and transformation from other modeling environments, data management platforms and metadata exchange formats.
Model & database comparisons
The Complete Compare facility, with Quick Compare templates, automates bidirectional synchronization of models, scripts and databases; compares one item with another; displays any differences and permits selective updates, generating ALTER scripts when necessary.
Roundtrip engineering
Forward- and reverse-engineering of database code and model exchange ensures efficiency, effectiveness and consistency in designing, standardizing, deploying and documenting data structures for comprehensive enterprise database management.
Data catalog & business glossary integration
DeepQual Data Modeler is an essential source of, and one of the best ways to view, metadata. It’s a critical enabler of data governance and intelligence, so metadata from erwin data models can be harvested automatically and then ingested into our data catalog and business glossary.
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