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Data Quality Services (DQS)
This blog provides information, news, tips, and announcements about the SQL Server Data Quality Services (DQS) feature introduced in SQL Server 2012.
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Data Quality Services (DQS)
Learning Resources for Data Quality Services (DQS) in SQL Server "Denali" CTP3
Posted
10 months ago
by
Kumar Vivek
3
Comments
We have put together a comprehensive set of learning resources for DQS that you can use to quickly understand/learn things about DQS, install/configure it, and then use it. DQS FAQ We understand that you have a lot of questions about DQS, and...
Data Quality Services (DQS)
How to add Reference Data Services in Data Quality Services (DQS)
Posted
10 months ago
by
Neta Haiby [MSFT]
1
Comments
SQL Server Data Quality Services (DQS) is a knowledge-driven data quality solution. You can define knowledge manually; acquire it from data samples of your organization, or knowledge provided by third party services. We call this Reference Data Services...
Data Quality Services (DQS)
Using the SSIS DQS Cleansing Component
Posted
10 months ago
by
Omer Boker [MSFT]
0
Comments
As part of our DQS CTP3 offering, we are releasing a new DQS SSIS component. This component incorporates the DQS cleansing functionality into an SSIS data flow. When should I use the SSIS DQS Cleansing Component? The DQS Cleansing component can...
Data Quality Services (DQS)
Installing and Configuring Data Quality Services
Posted
10 months ago
by
Omer Boker [MSFT]
7
Comments
After you’ve downloaded Denali CTP3, it’s time to install DQS! Here you can find some important information that will help you install and configure DQS successfully. Data Quality Services (DQS) contains three components: DQS server...
Data Quality Services (DQS)
Introducing Data Quality Services
Posted
10 months ago
by
Elad Ziklik [MSFT]
4
Comments
Welcome to the SQL Server Data Quality Services Team Blog! SQL Server Data Quality Services (DQS) is the new innovative data quality product delivered as part of SQL Server “Denali” release. DQS is a knowledge-driven data quality...
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