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What advice do you have for others considering erwin Data Modeler (DM)? | PeerSpot - Other Useful Business Software
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. Read Reviews Submit a Review. With erwin DM, users experience these benefits:. 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.
Automatically generate data models and database designs to increase efficiency and reduce errors. An integrated view of conceptual, logical and physical data models helps business and technical stakeholders understand data structures and meaning.
Improve data intelligence and decision-making across the enterprise by maximizing the ability of stakeholders to use, understand and trust relevant data. Consolidate and build applications with hybrid architectures, including traditional, NoSQL and Big Data, for the cloud and on premises.
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. Automated schema engineering and deployment accelerates and ensures successful adoption of cloud platforms, like Snowflake and MS Azure, including auto documenting existing schema into reusable models. 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.
Roundtrip Engineering Forward- and reverse-engineering of database code, integration with erwin DM NoSQL , and model exchange ensures efficiency, effectiveness and consistency in designing, standardizing, deploying and documenting data structures for comprehensive enterprise database management.
One of the most compelling use cases for erwin DM lies in its connection to the increasingly important and evolving realm of data governance. With the addition of the erwin Data Intelligence Suite , you can:. Data modeling is the foundation of enterprise metadata management and any data governance or data intelligence effort. What Is erwin Data Modeler? Benefits of the erwin Data Modeling Tool erwin data models reduce complexity, making it easier to design, deploy and understand data sources to meet business needs.
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. Successful Cloud Adoption Automated schema engineering and deployment accelerates and ensures successful adoption of cloud platforms, like Snowflake and MS Azure, including auto documenting existing schema into reusable models.
Start Trial. Learn More. Why Data Modeling with erwin? With the addition of the erwin Data Intelligence Suite , you can: Automatically harvest metadata from erwin data models and feed it into the erwin Data Catalog erwin DC. Create and integrate business and semantic metadata to augment physical data for ingestion into erwin DC to provide important context. Accelerate the creation of business terms and rules within the erwin Data Literacy erwin DL business glossary.
Make enterprise data assets accessible and understandable within the context of role-based views. Provide guidance on the use of data and guardrails to ensure data policies and best practices are followed.
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