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James Serra's Blog

James is currently a Senior Business Intelligence Architect/Developer and has over 20 years of IT experience. James started his career as a software developer, then became a DBA 12 years ago, and for the last five years he has been working extensively with Business Intelligence using the SQL Server BI stack (SSAS, SSRS, and SSIS). James has been at times a permanent employee, consultant, contractor, and owner of his own business. All these experiences along with continuous learning has helped James to develop many successful data warehouse and BI projects. James has earned the MCITP Business Developer 2008, MCITP Database Administrator 2008, and MCITP Database Developer 2008, and has a Bachelor of Science degree in Computer Engineering. His blog is at .

Microsoft Data Quality Services in SQL Server 2012

SQL Server Data Quality Services (DQS) is a knowledge-driven data quality product that is new to SQL Server 2012.  The technology was from Microsoft’s acquisition of Zoomix in 2008.  DQS enables you to build a knowledge base and use it to perform a variety of critical data quality tasks, including correction, enrichment, standardization, monitoring, and de-duplication of your data.  DQS also enables you to perform data cleansing by using cloud-based reference data services provided by reference data providers.  In addition, DQS provides you with profiling that is integrated into its data-quality tasks, enabling you to analyze the integrity of your data and provides suggestions for updating your data, along with the percent of confidence that the changes are correct.

DQS consists of Data Quality Server and Data Quality Client, both of which are installed as part of SQL Server 2012.  Data Quality Server is a SQL Server instance feature that consists of three SQL Server catalogs with data-quality functionality and storage.  Data Quality Client is a SQL Server shared feature that business users, information workers, and IT professionals can use to perform computer-assisted data quality analyses and manage their data quality interactively.  You can also perform data quality processes by using the DQS Cleansing component in Integration Services (SSIS) and Master Data Services (MDS) data quality functionality, both of which are based on DQS.

The MDS Add-in for Excel uses DQS to compare two sources of data: the data from MDS and the data from another system or spreadsheet.

More info:

Introducing Data Quality Services

SQL Server Data Quality Services

Data Quality in SQL Server 2012 Part 3: Introducing Data Quality Services, Data Quality in SQL Server 2012 Part 4: Data Quality Services Client,

Video Presentation: Introducing SQL Server 2012 Data Quality Services

Data Quality Services BOL

Getting Started with SQL Server 2012 Data Quality Services – Part 1, Part 2, Part 3, Part 4

SQL Server Data Quality Services – First Look

Video Introduction to SQL Server 2012 Data Quality Services

Video Enterprise Information Management (EIM): Bringing Together SSIS, DQS, and MDS

Video SQL 2012 Data Quality Services-Knowledge Driven Data Quality

Video Data Quality Services-Making Data Suitable for Business

Video Using Knowledge to Cleanse Data with Data Quality Services

Data Quality Services “How Do I?” Videos

Video Integrating DQS, MDS and Your Data Warehouse

Data Quality Services Performance Best Practices Guide

SQL SERVER – Step by Step Guide to Beginning Data Quality Services in SQL Server 2012 – Introduction to DQS


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