This course is designed for data quality stewards who need to learn more about the Quality Knowledge Base (QKB), as well as how to use DataFlux Data Management Studio to investigate and work with the QKB and its components.

The self-study e-learning includes:

• Annotatable course notes in PDF format.
• Virtual lab time to practice.

• Understand the QKB components.
• Use the component editors.
• Understand various definition types.

Who should attend

Formats available	Standard Duration (duration can vary, see event schedule for details)
Classroom:	2 days
Live Web Classroom:	4 half-day session(s)
e-Learning:	14 hours/180 day license

Before attending this course, you should be familiar with navigating DataFlux Data Management Studio.

• Introduction and course topics.
• Navigating the QKB in Data Management Studio.
• Navigating QKB locales in Data Management Studio.
• Viewing data types and tokens.

• Accessing the component files in Data Management Studio.
• Exploring the Scheme Builder.
• Exploring the Chop Table Editor.
• Exploring the Phonetics Editor.
• Working with the Regex Library Editor.
• Exploring the Vocabulary Editor.
• Exploring the Grammar Editor.

• Navigating the QKB definitions in Data Management Studio.
• Viewing and testing a parse definition.

• Introduction to parse definitions.
• Working with parse definitions.

• Introduction to case definitions.
• Working with case definitions.

• Introduction to standardization definitions.
• Working with standardization definitions.

• Introduction to match definitions.
• Working with match definitions.
• Understanding the matchcode layout.

• Introduction to identification analysis definitions.
• Working with identification analysis definitions.

• Introduction to extraction definitions.
• Working with extraction definitions.