MetaMatrix Enterprise Data Services Platform

Today's complex business environment is subject to increasing regulation, forcing enterprises to become accountable and transparent with their data. Under pressure from regulations and potential legal liability, enterprises struggle to achieve a single source of the truth - the idea that one set of data can be trusted as being fully accurate and accountable. The drivers for greater unification are clear, and compliance is only one of many forces pushing organizations to achieve a more integrated view of their enterprise data.

Simply a better way to work with data across diverse systems

MetaMatrix Enterprise Data Services Platform is a powerful data services management system. It provides tools for creating data services accessible through JDBC, ODBC or web service protocols, a repository for storing data service definitions with relevant metadata, and a robust execution environment that provides enterprise-class performance, data integrity, and security.

MetaMatrix Enterprise Data Services Platform helps reduce the time and cost of software development and integration by quickly bridging the gap between the data you have and the data you need. When multiple project teams maintain duplicate or inconsistent data sources, organizations lack a single, integrated view of enterprise data that is fully accurate and accountable in real time.

• Read the MetaMatrix Enterprise Data Services Platform datasheet (PDF)
• Learn more about SOA Solutions for Healthcare from Red Hat

Key Components

MetaMatrix Enterprise Designer. Eclipse-based design tool for creating and testing data services.

MetaMatrix Enterprise Server. Server-based runtime environment that executes data services and provides optimization, caching, and security.

MetaMatrix Repository. Multi-user metadata management system that incorporates a rich metadata repository and support for sharing metadata across a project team or across the enterprise.

The MetaMatrix Console. Client application that enables administration of the various components, including configuration of hosts, processes, and services; system monitoring and logging; configuration of security; and other administrative tasks.

Features and Benefits

• Faster development, better integration
• Quickly create data services to address a range of data requirements for one project, across several projects, or throughout the enterprise.
• Decouple applications from physical data sources to ease development and maintenance.
• Bridge semantic and vocabulary gaps between existing data sources, new project data requirements, and mandated standards.
• Reduce development and maintenance time - implement data access, transformation, integration, and aggregation without programming.
• Develop systems that provide consistent, current data in real time - with enterprise performance.
• Manage data services and related metadata for easy discovery and reuse - to take full advantage of work already done.