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  Ensuring Data Quality in Data Integration
  Ensuring Data Quality in Data Integration - cnline training course
 
3-hour 15-min Online Course by Arkady Maydanchik
Single-user access license

Our Price: $315.00


Product Code: DQ-04-A


Course Exam [Add $60.00]
Product Details Course Outline
 

Corporate data universe consists of numerous databases connected by countless real-time and batch data interfaces. The data continuously move about and change. The databases are endlessly redesigned and upgraded, as are the programs responsible for the data integration. The typical result of these dynamics is that information systems get better, while data quality deteriorates. Without a comprehensive data quality monitoring program bad data spread like viruses.

This online training course discusses various practices that can be put in place to mitigate the problem and maintain high data quality through data integration.

 Click to play Course Sneak Peek

You will learn:
  • The data quality challenges that are inherent in data integration
  • The critical role of data quality monitoring in data integration
  • Specific techniques to monitor and manage quality for batch data integration
  • The impacts of change on data quality and techniques to address those impacts
  • How an enterprise integration hub can be applied to managing data quality
This course is geared towards:
  • data integration practitioners
  • data quality practitioners
  • data warehousing practitioners
  • MDM practitioners
  • others in the trenches involved in design, development, and maintaintenance of data integration systems
 


Average Customer Review: Based on 2 Reviews. Write a review.

  0 of 0 people found the following review helpful:
 
Course review July 28, 2010
Reviewer: Jane Sanders from Copenhagen, Denmark  
Good background stories that ensure the message is delivered.

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  1 of 1 people found the following review helpful:
 
EDQ Review October 5, 2009
Reviewer: KathyJo Lockett from Carrollton, TX United States  
Wow! Been a while since my last statistical analysis class. This is not only a great refresher course, it lays out the pros and cons of using each of the models.

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