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| Section | Objectives |
|---|---|
| Data Quality Processes | - Data enrichment techniques - Parsing and standardization rules - Matching and de-duplication |
| Data Quality Fundamentals | - Data cleansing principles - Data standardization basics - Data profiling concepts |
| Administration and Deployment | - Job scheduling and automation - Repository management |
| DataFlux Data Management Studio | - Data integration workflows - Interface and components overview - Job creation and execution |
The SASInstitute SAS Data Quality using DataFlux Data Management Studio blueprint spans 4 domains — including Data Quality Fundamentals, Administration and Deployment, Data Quality Processes. Spend your hours where the percentages are; the full outline above lists every subtopic.
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The SASInstitute SAS Data Quality using DataFlux Data Management Studio is delivered Proctored exam delivered via Pearson VUE (online or test center) — choose the option that fits your schedule.
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The SASInstitute SAS Data Quality using DataFlux Data Management Studio is SASInstitute's official exam for the SAS Data Quality using DataFlux Data Management Studio certification, at the Professional level. It validates practical, job-relevant skills — which is why employers shortlist certified candidates. Related credentials include SAS Certified Specialist: Base Programming, SAS Data Management Certifications.
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