Build Complex Data Integration Quickly and Easily

As business size and complexity grows, so does the complexity of data integration. Business requirements often necessitate integrating data from a medley of data sources including databases, applications, files, web services, and unstructured data.

Custom programming, a common means of developing such integration, is expensive, time-consuming, and error prone. Integration tools are either unsuitable for complex integration tasks or are too expensive.

Centerprise Data Integrator

Centerprise Data Integrator represents a new generation of integration products that provide comprehensive data integration functionality in a single, unified platform. Centerprise’s codeless, visual environment enables you to integrate data from any data source including databases, files, services, and unstructured data sources.

Centerprise brings sophisticated dataflow and workflow capabilities as well as built-in scheduler, workflow automation, and more.

Complex Data Mapping in Centerprise

Centerprise’s power lies in its intuitive, streamlined, and unified user interface. Organically developed by a single team, Centerprise features an integrated environment that facilitates development of complex data integration jobs by business users without writing any code. Some Centerprise capabilities that aid in complex integration development include:

• Dataflow diagrams provide a visual view of the overall flow making it easy to develop, understand, and debug complex dataflows.
• An instant preview capability that can be used to view data at any step in a dataflow enabling you to pinpoint and resolve any issues
• Subflows enable  development of modular dataflows and reuse of frequently used flow logic
• Support for a large variety of data sources and targets including databases, files, services, and unstructured data in a single, codeless environment
• Full complement of transformations including lookups, expression, join, union, filter, route, normalize, denormalize, tree join, tree node query, and others ensure that you can process structures of varying complexities
• Data quality functionality helps you validate data and build outputs for individual record level errors and aggregate data quality statistics