This course expands on the knowledge acquired in SAS Data Integration Studio: Essentials and provides additional information about setting up change management, working with the Loop transformations, working with slowly changing dimensions, using the loader transformations, working with databases, and defining custom transformations. Also covered are impact analysis, conditional execution, metadata promotion, version control, and establishing checkpoints. Lastly, this course covers deploying jobs for scheduling and integrating with DataFlux.
The self-paced e-learning includes:
- Annotatable course notes in PDF format.
- Virtual lab time to practice.
Learn how to
- Set up change management.
- Work with slowly changing dimensions.
- Work with Loop transformations.
- Create new transformations.
- Examine impact analysis.
- Examine exporting and importing of metadata.
- Establish checkpoints.
- Deploy jobs for scheduling.
- Deploy jobs as SAS Stored Processes.
Who should attend
Data integration developers
Formats available | Standard Duration (duration can vary, see event schedule for details) | | |
Live Web Classroom: |
6 half-day session(s) |
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Before attending this course, you should have completed the SAS Data Integration Studio: Essentials course or have equivalent knowledge. Experience with SAS programming, SQL processing, and the SAS macro facility is recommended. This experience can be gained by completing the SAS Programming 1: Essentials, SAS SQL 1: Essentials, and SAS Macro Language 1: Essentials courses.
This course addresses SAS Data Integration Studio, SAS Analytics Platform software.
