Using the SAS Data Quality Solution to Cleanse Your Data
Duration: 2.0 days CEU: 1.2
This course presents the tools and techniques of using DataFlux dfPower Studio and the SAS Data Quality Solution to cleanse data. This course requires the SAS Intelligence Platform as well as DataFlux dfPower Studio.
Learn how to
- use DataFlux dfPower Studio and the SAS Data Quality Solution to cleanse your data
- use data profiling techniques
- conduct cross-table analysis
- create and apply standardization schemes
- use parsing and concatenation techniques
- match and integrate your data.
Who should attend
Quality analysts, warehouse consultants, and ETL specialists
Prerequisites
Knowledge of data cleansing issues, SAS programming, and SAS Data Integration Studio is helpful but not required.
Course Contents
SAS and Data Quality
- what is data quality?
- data cleansing methodology
- data quality technology offerings
Course Data and Case Study
- overview of course data
- overview of course case study
Data Profiling
- what is data profiling?
- data profiling with dfPower Studio
- data profiling with SAS Data Integration Studio
- data profiling with SAS
Data Cleansing: Standardization
- what is data standardization?
- standardizing data with dfPower Studio
- standardizing data with SAS Data Integration Studio
- standardizing data with SAS
Data Cleansing: Additional Functionality
- additional data quality/cleansing techniques
- data quality/cleansing using dfPower Architect
- data quality/cleansing using SAS
Data Integration
- matching and integrating data
- data integration using dfPower Studio
- data integration using SAS Data Integration Studio
- data integration using SAS
Data Monitoring
Software Addressed
This course addresses the following software product(s): SAS Data Integration Studio, SAS Data Quality Solution, SAS Intelligence Platform. This course also addresses DataFlux dfPower Studio.
Course Materials
Students receive a hardcopy of the course notes.
U.S. Schedule
09FEB2009 Rockville, MD
| 04JUN2009 New York, NY
| |
Check for additional and updated schedule information online at
support.sas.com/courses/didq.html.
Registration
To register for this course in the US, call 800-333-7660 or visit
support.sas.com/training.
This course is also available for on-site training, or you can create a custom course by combining material from several courses. For more details, contact SAS Education in Cary, NC at 919-531-7321 or send e-mail to
training@sas.com.