Understanding the SAS(R) Quality Knowledge Base

Course code: DQ329

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.

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Course dates

Starting date: Upon request

Type: E-learning

Course duration: 14 hours

Language: en

Price without VAT: 720 EUR

Register

Starting date: Upon request

Type: Upon request

Course duration: 14 hours

Language: en

Price without VAT: 1 200 EUR

Register

Starting
date
Place
Type Course
duration
Language Price without VAT
Upon request E-learning 14 hours en 720 EUR Register
Upon request Upon request 14 hours en 1 200 EUR Register
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Target group

Data quality stewards

Course structure

Introduction to the SAS Quality Knowledge Base (QKB)

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

Working with QKB Component Files

  • 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.

Working with QKB Definitions

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

Parse Definitions

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

Case Definitions

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

Standardization Definitions

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

Match Definitions

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

Identification Analysis Definitions

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

Extraction Definitions

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

Prerequisites

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

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