This course teaches you how to create and manage terms using SAS Business Data Network, how to access and view relationship information in SAS Lineage, and how to monitor data in Business Rules Manager and view the monitoring results.
The self-study version of this course contains structured course notes that provide a detailed overview and exercises and that help you develop essential skills. There is also a Virtual Lab that enables you to practice what you learn in the course.
The e-learning includes the following:
- digital course notes for self-study
- Virtual Lab: 30 hours of hands-on software practice
Learn how to
- use SAS Data Governance as a part of your corporate data governance strategy
- create and manage terms
- create and manage term types
- use collaborative terms to create a review process for creating, editing, and deleting terms
- gather, load, and view relationship information
- create data jobs to monitor data
- view monitoring results.
Who should attend
Data quality stewards
Before attending this course, you should attend the DataFlux Data Management Studio: Essentials course or have equivalent knowledge.
This course addresses SAS Data Integration Studio, SAS Management Console, DataFlux Data Management Studio, DataFlux Data Management Server, DataFlux Web Studio Server, SAS Workflow Studio, SAS Marketing Automation, SAS Business Data Network, SAS Data Governance, SAS Lineage software.
Introduction to SAS Data Governance- SAS Data Governance overview
- exploring the SAS Data Governance environment
Creating a Glossary Using SAS Business Data Network- introduction to SAS Business Data Network
- creating and defining terms
- importing and exporting terms
- maintaining and reviewing terms
Additional Topics about SAS Business Data Network- managing term types
- collaborative terms
Viewing Relationships Using SAS Lineage- introduction to SAS Lineage
- collecting relationship information
- integrating relationship information
- viewing relationship information
Monitoring Data Using SAS Business Rules Manager- introduction to data monitoring
- creating content in Business Rules Manager
- implementing data monitoring jobs
- viewing monitoring results
