Multiple-platform Data Modeling and Architecture
Data modelers and architects have to respond to multiple levels of data-related business needs. Some key activities that may need their attention include:
Build out a data model as part of a development cycle
Discover and document existing assets across the data landscape
Create and populate a data warehouse
Build out an enterprise data model
Catalog metadata for data governance or data quality initiatives
Perform an impact analysis of new policies or projected changes to models, databases, or data fields
Why ER/Studio Data Architect
Create effective data models to build a business-driven data architecture
Data modelling helps organisations make better business decisions with accurately interpreted and rapidly changing data. Model data from relational, NoSQL, big data, BI and ETL sources. Whether you are creating a new model from a conceptual diagram or reverse-engineering from an existing database, IDERA ER/Studio Data Architect is a powerful tool that helps you easily and effectively design and manage your logical and physical data models.
Document and enhance existing databases to reduce redundancy
Import and reverse-engineer content from multiple data sources into logical and physical data models, and integrate the elements into reusable constructs with an enterprise data dictionary. Easily compare and merge differences between data models and databases to reconcile changes. Leverage rich text editing along with relationship font and color inheritance to enhance model content and appearance.
Implement naming standards to improve data consistency and quality
Assign a naming standards template to your model, sub-model, entities, and attributes. Those naming standards will be applied automatically between the logical and physical models, simplifying the data modelling process and ensuring consistency between models. With Data Architect Professional, you can also integrate model elements into reusable constructs via a built-in enterprise data dictionary.
Effectively share and manage data models across the enterprise
The multi-level design layers in ER/Studio Data Architect allow for the accurate visualisation of data. Manage data model version control and share data assets in the repository included with Data Architect Professional. Create and track tasks and view changes to data models aligned to agile development methodologies.
Map data sources and trace origins to enhance data lineage
Universal mappings provide links between instances of the same concept across models and databases to enhance traceability, and data lineage diagrams show the source, target, and transformation details for connections between databases, models, metadata, and data sources. Organisations can obtain a clear understanding of where their data originated, where it is used, and what the data actually means.
ER/Studio Data Architect is available in two editions:
ER/Studio Data Architect edition is the feature-rich tool with extensive data modelling capabilities across multiple relational and big data platforms, along with import bridges for other common modelling tools.
ER/Studio Data Architect Professional edition also includes the model repository for version control and agile change management.