erwin Enhances its Data Modeler Suite for High Quality Data Sources

erwin, the data governance company, is releasing an updated version of erwin Data Modeler (erwin DM), introducing new innovation across its enterprise modeling and data governance suites.

The new erwin DM features include:

  • A modern, configurable workspace so users can customize the modeling canvas and optimize access to features and functionality that best support their workflows, including ribbon menus, tabs for navigating between multiple models, and customizable UI elements such as icon colors
  • Support for and model integration from major databases to work effectively across platforms and reuse work product, including native support for Amazon Redshift and updated support for the latest DB2 releases, certification for the latest MS SQL Server releases, and model exchange (import/export) to/from a wide variety of data management environments
  • Modeling task automation that saves modelers time, reduces errors and increases work product quality and speed, including a new scheduler to automate the offline reverse-engineering of databases into data models, New Quick Compare templates as part of the Complete Compare feature to compare and synchronize data models and sources, new ODBC query tool for creating and running custom model and metadata reports, and design transformations to customize and automate super-type/sub-type relationships between logical and physical models

erwin DM also integrates with the erwin Data Intelligence Suite (erwin DI) to automatically harvest the metadata in erwin data models for ingestion into the data catalog for better analytics, governance and overall data intelligence.

erwin DM is a data modeling tool used to find, visualize, design, deploy, and standardize high-quality enterprise data assets.

“Today’s data modeling is not your father’s data modeling,” explains Adam Famularo, CEO of erwin. “While it’s always been the best way to understand complex data sources and automate design standards and integrity rules, the role of data modeling continues to expand as the fulcrum of collaboration between data generators, stewards and consumers. That’s because it’s the best way to visualize metadata, and metadata is now the heart of enterprise data management, as well as data governance and intelligence efforts.”

erwin’s data modeling business continues to expand, with more than 250 new logos added across several industry sectors in 2019.

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