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Most RecentMost ViewedMost LikesNew Online Course for General Training on The Usage of DQSFirst published on MSDN on Jan 25, 2017 Hello everyone,We've recently published a new online course via edX to provide general training on the usage of DQS.Automating DQS Domain Value ImportFirst published on MSDN on Aug 05, 2013 There are times when you may want to update a DQS Knowledge Base through an automated process.Using the SSIS DQS Cleansing ComponentFirst published on MSDN on Jul 18, 2011 As part of our DQS CTP3 offering, we are releasing a new DQS SSIS component.Configuring SSIS DQS Domain Value ImportFirst published on MSDN on Aug 05, 2013 In the previous blog article, I described how to use the free SSIS DQS Domain Value Import from OH22 data to automate importing values into a DQS Knowledge Base domain.Handling error in SSIS DQS Domain Value ImportFirst published on MSDN on Aug 03, 2013 In the previous blog article, I described how to use SSIS DQS Domain Value Import.Cleansing Customer Data Using Data Quality Services (DQS)First published on MSDN on Jun 14, 2013 SQL Server 2012 Data Quality Services (DQS) enables you to cleanse data using your own Knowledge Base.Cleansing your Customer Data using Dun & Bradstreet DQS serviceFirst published on MSDN on Jun 11, 2013 Starting today you can use SQL Server Data Quality Service (DQS) to cleanse data using Dun & Bradstreet (D&B) extensive business information data.Extending timeout setting for Reference Data Services (RDS)First published on MSDN on Apr 10, 2013 DQS, by default, uses connection timeout of 1 minutes when connecting to external Reference Data Services (RDS) provider.DQS on the Twelve Days of SQL Server 2012First published on MSDN on Apr 18, 2012 Call to Action: When you’re done reading this article and checking out the resources it references, please take a moment to comment and let the DQS team know what additional resources you would like provided.DQS Performance and Best PracticesFirst published on MSDN on Mar 12, 2012 Hi DQS users, I want to draw your attention to the Data Quality Services Performance Best Practices Guide that describes how to get the best performance out of DQS, especially when working with large data volumes.
