SAS Data Integration Studio
Title | Level | Training Formats |
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dfPower Studio Training
The objective of this course is to provide the participant with the fundamental understanding of how to properly use dfPower Studio and effectively apply the DataFlux technology and methodology. |
1 Beginner | |
dfPower Customize Training
The objective of this course is to provide the participant with a fundamental understanding of how to properly apply dfPower Studio and use dfPower Customize to benefit all data quality and data integration initiatives. |
3 Intermediate | |
SAS Data Integration Studio: Fast Track
This course introduces SAS Data Integration Studio and includes topics about change management, registering source data and target data in metadata, creating and working with jobs, and working with transformations. The course also provides information about creating iterative processes, creating conditional processes, defining new transformations, in-database processing, analyzing metadata, promoting metadata, versioning metadata, and deploying jobs. The self-paced e-learning includes:
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1 Beginner | |
Leveraging the Power of the Quality Knowledge Base (QKB) in SAS Technology Components
This course assists SAS users with accessing the components of the Quality Knowledge Base (QKB) from within a variety of SAS technology components. The self-study e-learning includes:
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3 Intermediate | |
SAS Federation Server: Accessing and Virtualizing Enterprise Data
SAS Federation Server makes it easier for business users to access secure data for reporting and analysis. It provides a virtual layer or view, giving users the appropriate level of control without physically moving data. This frees up IT staff to focus on other tasks by giving them a simple method of sharing data using a centralized, governed security layer. |
3 Intermediate | |
SAS Data Management Tools and Applications
In this course, you discover how to access your data from a variety of sources, create processes to manage and transform data, and ensure the reliability and consistency of your data. |
1 Beginner |