James is a big data and data warehousing technology specialist at Microsoft. He is a thought leader in the use and application of Big Data technologies, including MPP solutions involving hybrid technologies of relational data, Hadoop, and private and public cloud. Previously he was an independent consultant working as a Data Warehouse/Business Intelligence architect and developer. He is a prior SQL Server MVP with over 30 years of IT experience. James is a popular blogger (JamesSerra.com) and speaker, having presented at dozens of PASS events including the PASS Business Analytics conference and the PASS Summit. He is the author of the book “Reporting with Microsoft SQL Server 2012”. He received a Bachelor of Science degree in Computer Engineering from the University of Nevada-Las Vegas.
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.
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