There is a new version of this course. Please see SAS Data Integration Studio: Fast Track.

This course introduces SAS Data Integration Studio and includes topics for registering sources and targets, creating and working with jobs, and working with transformations. This course also provides information about working with Loop transformations, defining new transformations, and working with in-database processing.

The self-paced elearning 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 a variety of transformations..
• Work with Loop transformations.
• Create new transformations.
• Examine impact analysis.
• Examine exporting and importing of metadata.
• Establish checkpoints in a job flow.
• Deploy jobs for scheduling.

Who should attend

Formats available	Standard duration
Classroom:	4 days

Before attending this course, you should have experience with the following:

• SAS programming basics.
• SQL processing.
• SAS macro facility.

You can gain this experience 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 Data Quality Solution, SAS Analytics Platform software.

• Exploring the platform for SAS Business Analytics.
• Reviewing the course data and course tasks.
• Using SAS Data Integration Studio.
• Exploring change management basics.

• Setting up the environment.
• Registering source data metadata.

• Registering target data metadata.
• Importing metadata for target data.

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

• Practicing registering source data metadata.
• Registering target data metadata.
• Building jobs.

• Working with propagation and mappings.
• Exploring status handling for transformations and jobs.

• Working with the Extract transformation.
• Working with summary statistics transformations.
• Working with the Data Validation transformation.
• Working with the SQL transformations.

• Introduction to Loop transformations.
• Iterating a job with Loop transformations.

• Using the new transformation wizard.

• Basics of the Table Loader transformation.
• Load styles of the Table Loader transformation.
• Table properties and load techniques of the Table Loader transformation.

• Introduction to in-database processing.
• Using in-database processing.
• Creating an ELT process.

• Analyzing metadata using impact analysis.
• Using the Conditional Execution transformation.
• Exporting and importing metadata.
• Creating a version of a metadata object.

• Deploying jobs for scheduling.