Realdolmen Education


Using SQL Server 2014 Data Quality Services and Master Data Services

This course is currently not scheduled on the open calendar, but can be organized on request.

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1 day(s)


This course is intended for database professionals who need to fulfill a Business Intelligence Developer role. They will need to focus on hands-on work creating BI solutions including Data Warehouse implementation, ETL, and data cleansing.


Before attending this course, student should have at least 2 years experience of working with relational databases, including: Designing a normalized database; Creating tables and relationships; Querying with Transact-SQL; Some exposure to basic programming constructs (such as looping and branching). An awareness of key business priorities such as revenue, profitability, and financial accounting is desirable.


Data warehousing is a solution organizations use to centralize business data for reporting and analysis. This course focuses on teaching individuals how to validate and cleanse data with SQL Server Data Quality Services and SQL Server Master Data Services. This course helps people prepare for exam 70-463.


Instructor led training alternated with demos and exercises. Each student disposes of a workstation. All the labs for this course can be performed using the provided virtual machines.


After completing this course, students will be able to: Implement data cleansing by using Microsoft Data Quality Services and Implement Master Data Services to enforce data integrity.


  • Module 1: Enforcing Data Quality by using SQL Server 2014 Data Quality Services (DQS)
    • Introduction to Data Quality
    • Using Data Quality Services to Cleanse Data
    • Using Data Quality Services to Cleanse Data
  • Module 2: Using SQL Server 2014 Master Data Services (MDS)
    • Introduction to Master Data Services
    • Implementing a Master Data Services Model
    • Managing Master Data
    • Creating a Master Data Hub