SAS Data Quality Using DataFlux Data Management Studio

Exam Content Guide

Navigating the DataFlux Data Management Studio Interface

• Navigate within the Data Management Studio Interface

Exploring and Profiling data

• Create and explore a data profile
• Design data standardization schemes

Data Jobs

• Create Data Jobs
• Apply a Standardization definition and scheme
• Apply Parsing definitions
• Apply Casing definitions
• Compare and contrast the differences between identification analysis and right fielding nodes
• Apply the Gender Analysis node to determine gender
• Create an Entity Resolution Job
• Use data job references within a data job
• Understand how to use an Extraction definition
• Explain the process of the definition of pattern analysis

Business Rules Monitoring

• Define and create business rules
• Create new tasks

Data Management Server

• Interact with the Data Management Server

Expression Engine Language (EEL)

• Explain the basic structure of EEL (components and syntax)

Process Jobs

• Work with and create process jobs

Macro Variables and Advanced Properties and Settings

• Work with and use macro variables in data profiles, data jobs and data monitoring
• Determine uses for advanced properties

Quality Knowledge Base (QKB)

• Describe the organization, structure and basic navigation of the QKB
• Be able to articulate when to use the various components of the QKB
• Define the processing steps and components used in the different definition types.