Standards-based Data Services Layer
Problem – Creating Common Data Services Enterprise-wide Is Difficult
Internal and industry-wide XML data standards hold the promise of a common, agreed-upon consumption format for all information consumers, regardless of source format or location. In recent years, these standards have become increasingly important as data is shared within the myriad depatments and groups of a single large enterprise, as well as beyond the firewall to partners, suppliers, customers and others.
The business agility and cost savings benefits of standards-based data services are significant. However, developing data services that adhere to standards is not a trivial exercise. Data virtualization helps deliver on the promise of data standards.
Solution – Use Data Virtualization to Simplify and Accelerate Standards-based Data Services
The Composite Data Virtualization Platform enables rapid development of XML standards-compliant data services deployed in a layered, data virtualization architecture so you can gain the business agility and cost savings you seek.
- Reusable Services – With Composite, each data service can be developed, deployed and modified as an independent, standalone component, providing greater flexibility and reusability.
- Flexibility to Change Sources and Consumers –Composite data services loosely-couple the data sources and consumers, and therefore reduce the impact of changes at either source or consumer level.
- Rapid Development to Increase Responsiveness – Composite data services can be developed and changed easily and rapidly using modern development tools, thereby providing the agility required in today’s fast-paced business world.
- Componentized Services Simplify Development and Increase Flexibility – Composite data services can leverage one and other to split the work, for example across sourcing services, federation services, and standards transformation services to simplify development and provide even greater flexibility and reuse.
- Data Governance Provides Control – Composite’s data governance ensures data security, data quality and 7x24 operations to maximize control throughout the data virtualization layer.
Standards-based Data Services Layer
Selected Examples
- Virtualizing Refinery Data Enterprise-wide – Using the process manufacturing standard called MIMOSA along with Composite data virtualization, the energy company ensures similar data is delivered the same way across all its refineries. As a result, operations analysts studying pump failures to optimize preventative maintenance have easy access to data from all pumps in all of the refineries, thereby significantly improving the quality of analysis. Similarly, process engineers may access pump data from multiple refineries, and analyze it with a different tool set for refining process optimization. This approach has led to better business decision making that has increased refinery yields, lowered equipment maintenance costs, and produced better compliance with a myriad of regulations.
- Sharing Intelligence Data across Government Agency Boundaries– To better control threats, intelligence analysts need to use information both within and across the multiple multiple government agencies. For example, using Composite and several standards, including the Intelligence Community Data Layer (ICDL), the National Information Exchange Model (NIEM,) and the Maritime Information Exchange Model (MIEM), agencies such as the Drug Enforcement Administration and the Immigration and Naturalization Service can easily share passenger, crew and manifest data from a U.S. Coast Guard port arrivals data warehouse. As a result, these agencies ensure America’s security in a cost-effective way.
