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DataFlux Data Management Server

Workflow and data services that power data management

Working in unison with DataFlux Data Management Studio, DataFlux Data Management Server helps form the backbone of the DataFlux Data Management Platform. The technology can implement the rules created in Data Management Studio in both batch and real-time environments.

Through an innovative, standards-based service-oriented architecture (SOA), Data Management Server frees you from writing and testing hundreds of lines of extra code to enable real-time data quality, data integration and data governance routines. Data Management Server is the workhorse that enables pervasive data quality, data integration and master data management (MDM) throughout your organization.


 

Features

  • Parallel processing to optimize IT resources for data management projects
  • ETL transformations (SQL Loader, SCD, other)
  • Pre-built integration logic to eliminate extra time spent writing and testing code, while adding data quality routines into existing business applications
  • Spread processing across CPUs to handle high-transaction and high-volume environments

Functionality

  • Enable the complete reuse of data quality and integration business logic
  • Schedule and execute batch and real-time jobs to maximize server performance
  • Integrate DataFlux data quality and data integration with existing applications to move data management routines further upstream
  • Expose jobs as web services through BPM/BPEL integration
 


Webcast

Measuring the ROI of Data Governance

In this webcast Gwen Thomas from The Data Governance Institute and Dan Soceanu from DataFlux provide a practical guide for determining ROI for data governance and data quality initiatives.

White Paper

The Four Imperatives of Data Governance Maturity

This monograph by Philip Russom of TDWI examines the four requirements to increasing the maturity of data governance initiatives.

White Paper

Data Ownership and Enterprise Data Management: Is Your Data Under Control?

In the first of a three-part series by Mike Ferguson, president of Intelligent Business Strategies, addresses the issue of data ownership and enterprise data management.