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DataFlux Data Management Studio: Essentials
This course is for data quality stewards who perform data management tasks, such as data quality improvements, data enrichment, and entity resolution.
Power up your staff’s skills and boost your business
About Program
Format of Training
Training Features
Course Curriculum
Course Fees
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ContactAbout Program
This course is for data quality stewards who perform data management tasks, such as data quality improvements, data enrichment, and entity resolution.
The self-study version of this course includes structured course notes that provide a detailed overview, essential skills, and exercises, along with a software Virtual Lab to practice.
The e-learning includes:
- digital course notes for self-study
- Virtual Lab: 30 hours of hands-on software practice.
Format of Training
Taught by certified instructors at high-tech facilities across the country
- A SAS expert at your side.
- Focused learning away from the office
- Networking opportunities
- State-of-the-art facilities
- Electronic course notes downloadable to your device and permission to print
- Business Knowledge Series: in-depth courses on the latest business topics
- We offer Connected Classes! Watch for courses in Cary, New York, Arlington, Dallas and San Francisco that connect remote students via our Live Web classroom.
All the benefits of the classroom without the travel
- Join the classroom right from your desktop
- Led by an expert instructor who can virtually look over your shoulder
- Ask questions and get answers in real-time
- Access the latest software via a virtual lab
- Receive 20 business days' access to a recording of your course
- Discuss, share, exchange ideas with participants from different countries
Training Features
- create and review data explorations
- create and review data profiles
- create data jobs for data improvement
- establish monitoring aspects for your data.
Course Curriculum
Introduction and Course Flow
- providing an overview of the technology offerings for SAS Data Quality
- discussing the DataFlux Data Management Platform architecture
DataFlux Data Management Studio: Getting Started
- navigating the DataFlux Data Management Studio interface
- creating a Data Managment Studio repository
- verifying the course QKB and reference sources
- working with data connections
Plan
- creating data collections
- designing data explorations
- creating data profiles
- designing data standardization schemes
ACT: Introduction to Data Jobs
- introduction to data jobs
- setting options for data jobs
- creating a simple data job
ACT: Quality
- identifying functionality that is available in the Quality grouping of nodes
- standardization, parsing, and casing
- identification analysis and right fielding
ACT: Data Enrichment
- understanding the data enrichment data sources
- working with address verification in a data job
ACT: Entity Resolution
- discussing the concept of match codes
- describing the process of generating match codes
- creating match codes
- clustering records
- adding survivorship to the entity resolution job
Monitor
- defining business rules
- adding a business rule and an alert to a profile
- creating a historical visualization
- using a business rule in a data job
- data jobs with monitoring tasks
Additional Topics
- multi-input/multi-output data jobs
- using data job references within a data job
- woriking with the Data Management server
Course Fees
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