Is your data messy? Do you need to learn how to clean it up? In this computer science course, we will discuss the discipline of Data Quality Assurance and Data Quality Services (DQS). You will learn why your data needs cleansing, the capabilities and features of DQS, what a DQS solution looks likes and how data cleansing integrates with an Integration Services (SSIS) data flow. We will demonstrate a variety of critical data quality activities such as knowledge discovery, domain management, matching policies for the de-duplication of data, and administration topics covering installation, configuration and security.
Data Cleansing with Data Quality Services (DQS)
This course may be unavailable.
Overview
Syllabus
Module 1
- Introducing DQS
- Discipline of Data Quality Assurance
- SQL Server DQS, overview of capabilities and features; concepts; support by SQL Server version and edition
- Installation and setup
- Creating DQS Solutions
- Knowledge bases; Domains; Composite domains; DQ Projects
- Exploring an existing solution
Module 2
- Cleansing Data with DQS
- Rules; Values
- Creating a knowledge base to cleanse data in a DQ Project
- Cleansing Data with DQS in SSIS
- SSIS DQS Cleansing component
- Integrating cleansing in SSIS data flow
- Creating knowledge base, cleanse data in a DQ Project and SSIS data flow
Module 3
- Matching Data with DQS
- Matching policies; Matching projects
- Creating a matching policy, and de-duplicating data in a DQ project
- De-duplicating data in a DQ Project
- Administering DQS
- Installation; Configuration; Security
- Install, configure and secure a DQS instance
Module 4
Final Assessment
Taught by
Peter Myers and Cari Mason
