1. Data Quality Services (DQS)
First steps to Data Mining approach
Konstantin Khomyakov
konstantin.khomyakov@gmail.com

2. Agenda
 What is DQS ?
 Why use DQS ?
 Installation
 Knowledge base sources
 KB for Cleansing
 Matching Policy
 Demo

3. What is DQS ?
 A set of tools and services that allow data
experts improve Data Quality
 Components:
- Cleansing
- Matching
- Profiling
- Monitoring

4. Why Use DQS ?
 To allow users with data domain knowledge to
improve the quality of the data
 Manually define, match, cleanse
 Can ‘learn’
 Can incorporate 3rd party data
 Can integrate with other data processes (SSIS)

5. Installation DQS
 SQL Server 2012
 Not installed by default
 Must run ‘DQS Server Installer’ post SQL Install

6. Knowledge base sources

7. KB for Cleansing
 Using the DQS KB to do Cleansing
 Create or Open a Data Quality Project
 Map the DQS KB to the new data
 Perform Cleansing
 Manage/View Results
 Export corrected results

8. Matching Policy
 A matching policy consists of matching rules that
asses how well one record matches to another
 Specify in the rule whether records values have
to be an exact or similar
 Train a policy by running and tuning each rule
separately

9. Demo
Knowledge Base
&
Cleansing

10. Thanks for Attention
Konstantin Khomyakov
konstantin.khomyakov@gmail.com

11. Наши спонсоры