Rational Data Architect combines data modeling capabilities with data
source discovery and mapping and model analysis
* Creates logical and physical data models.
* Discovers data sources and relates disparate data sources.
* Explores and visualizes the structure of data sources.
* Compares the structure of two data sources/targets.
* Discovers similarities between data sources.
* Analyzes models and data sources for conformance to enterprise
standards.
Due to the ever growing complexity of our enterprise databases and
environments, IT Architects and Integration Designers are facing some
unique challenges. One of the biggest challenges is gaining a thorough
understanding of the multitude of existing enterprise data assets and
how they are all related to each other. Proper modeling is essential,
whether you...re creating a data model from scratch or modeling an
existing data source, as it directly impacts database quality and
performance.
IBM Rational Data Architect V6.1 is a new enterprise data modeling tool
in the Information Management software portfolio. Rational Data
Architect is designed to help data architects understand information
assets and their relationships, design federated databases, and
streamline database projects. Rational Data Architect provides advanced
features to help data architects discover, model, visualize, relate, and
develop heterogeneous data assets. Architected for integration, Rational
Data Architect combines traditional data modeling capabilities with data
source mapping discovery and model analysis, all organized in a modular
project-based manner. Rational Data Architect is integrated with
requirements management and team products for improved project
time-to-value, consistency, and accuracy in the enterprise environment.
IBM Rational Data Architect 6.1 has rich functionality, which gives data
professionals the ability to:
* Intelligently design a relational or federated database.
* Discover and define relationships within and across data sources
and targets.
* Perform impact analysis across models.
* Compare and synchronize models to deployed databases.
* Create enterprise data standards, verify compliance, and generate

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