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Leveraging the Power of Quality Knowledge Base (QKB) in SAS Technology Components

( Duration: 2 Days )

This Leveraging the Power of QKB in SAS Technology Components training course assists SAS users with accessing the components of the Quality Knowledge Base (QKB) from within a variety of SAS technology components.

By attending Leveraging the Power of QKB in SAS Technology Components workshop, delegates will learn to:

  • Configure SAS technology components to use the Quality Knowledge Base (QKB)
  • Access the QKB functionality from within SAS applications and SAS code
  • Use SAS Data Integration Studio transformations that access Quality Knowledge Base components
  • Use the Cleanse Data directive in SAS Data Loader for Hadoop to access Quality Knowledge Base components
  • Use data quality methods in SAS Federation Server queries to access the Quality Knowledge Base components
  • Execute data quality expressions in SAS Event Stream Processing models to access the Quality Knowledge Base components.

  • Experience with SAS programming techniques, including working with DATA step code
  • Familiar with the SQL procedure
  • General understanding of SAS macro language
  • Familiar with one or more of the following: SAS Data Integration Studio, SAS Data Quality Accelerator, SAS Data Loader for Hadoop, SAS Federation Server, or SAS Event Stream Processing.

The Leveraging the Power of QKB in SAS Technology Components class is ideal for:

  • Any SAS user who wants to leverage the power of the Quality Knowledge Base (QKB) from SAS applications and SAS code

COURSE AGENDA

1

Introduction to the Quality Knowledge Base (QKB)

  • Describe the functionality that is available in the Quality Knowledge Base (QKB)
  • Identify some applications that use the QKB definitions for data-cleansing purposes
  • Identify the installation location of the QKB
  • Name the types of files in a QKB installation
  • Understand the structure of the QKB
2

Configuration Options for Accessing the QKB from within SAS

  • Describe the SAS Data Quality Server functionality
  • Identify the requirements for the use of the QKB in SAS applications
  • List the ways that SAS applications can be configured to the QKB
  • Describe the options for configuring the SAS platform to the QKB
  • Identify the SAS autocall macros for interacting with the QKB
  • Explore the syntax for working with the macros
  • Provide code examples for using the macros
3

SAS Data Quality Server Procedures, Functions, and CALL Routines

  • Identify the code options available in SAS Data Quality Server
  • Identify the functions available for listing locales
  • Describe the use of the DQLOCLST procedure
  • Review the concept of standardization
  • Identify the CALL routine available for standardizing data values
  • Describe the use of the DQSCHEME procedure
  • Describe the use of the DQMATCH procedure
  • Identify the parsing and extraction functions that are available from SAS Data Quality Server
  • Identify the identification analysis and gender analysis functions that are available from SAS Data Quality Server
  • Identify the casing functions and pattern analysis functions that are available from SAS Data Quality Server
4

SAS Data Integration Studio Transformations That Access the QKB

  • Configure SAS Data Integration Studio to use the QKB
  • Identify the data quality transformations available in SAS Data Integration Studio
  • Demonstrate the use of the User Written Code transformation to set data quality options
5

SAS Data Quality Accelerators for In Database Access to the QKB

  • Identify the required SAS Data Quality Accelerator components
  • Identify the purpose of SAS Data Loader for Hadoop
  • Define the use of directives
  • Describe the five steps in the data preparation methodology
6

SAS Federation Server Functions That Access the QKB

  • SAS Federation Server technology components
  • Create fedsql views
  • Use data quality methods in fedsql

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Contact us for delivering this course as a public/open-house workshop/online training for a group of 10+ candidates.

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