This course introduces SAS Data Integration Studio and includes topics for registering sources and targets, creating and working with jobs, and working with transformations.

The self-paced e-learning includes:

• Annotatable course notes in PDF format.
• Virtual lab time to practice.

• Register source data and target tables.
• Create jobs and explore the functionality of the job editor.
• Work with many of the various transformations.

Who should attend

Formats available	Standard Duration (duration can vary, see event schedule for details)
Classroom:	3.0 days
Live Web Classroom:	6 half-day session(s)

Before attending this course, it is recommended that you have experience with SAS programming basics. You can gain this experience by completing the SAS Programming 1: Essentials course.

This course addresses SAS Data Integration Studio, SAS Analytics Platform software.

• Exploring the platform for SAS Business Analytics.
• Introduction to SAS Data Integration Studio.
• Using change management to create new metadata and update metadata.
• Introduction to the classroom environment and the course tasks.

• Setting up the environment.
• Registering source data metadata.
• Registering SAS table metadata.
• Registering DBMS table metadata.
• Registering ODBC data source table metadata.
• Registering metadata for external files.

• Registering target data metadata.
• Importing metadata.

• Introduction to jobs and the job editor.
• Using the Join transformation.

• Investigating column propagation, mapping, and updating.
• Establishing status handling.
• Importing SAS code into SAS Data Integration Studio.

• Using the Extract and Summary Statistics transformations.
• Using the Data Validation transformation.
• Exploring SQL transformations.
• Using the Transpose, Append, Rank, and List Data transformations.
• Using transformations for basic standardizations.