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SAS Data Integration Studio: Essentials
This course introduces SAS Data Integration Studio and includes topics for registering sources and targets; creating and working with jobs; and working with transformations.
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About Program
Format of Training
Training Features
Course Curriculum
Course Fees
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ContactAbout Program
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-study version of this course includes structured course notes that provide a detailed overview, essential skills, and exercises, along with a software Virtual Lab to practice.
The e-learning includes:
- digital course notes for self-study
- Virtual Lab: 30 hours of hands-on software practice.
This course can help prepare you for the following certification exam(s): SAS Data Integration Development for SAS 9.
Format of Training
Taught by certified instructors at high-tech facilities across the country
- A SAS expert at your side.
- Focused learning away from the office
- Networking opportunities
- State-of-the-art facilities
- Electronic course notes downloadable to your device and permission to print
- Business Knowledge Series: in-depth courses on the latest business topics
- We offer Connected Classes! Watch for courses in Cary, New York, Arlington, Dallas and San Francisco that connect remote students via our Live Web classroom.
Training Features
- register source data and target tables
- create jobs and explore the functionality of the job editor
- work with many of the various transformations.
Course Curriculum
Introduction
- exploring the platform for SAS Business Analytics
- introduction to the data management applications
- introduction to the classroom environment and the course tasks
Working with Change Management
- introduction to change management
- establishing a change management environment (self-study)
Creating Metadata for Source Data
- setting up the environment
- registering source data metadata
Creating Metadata for Target Data
- registering target data metadata
- importing metadata
Creating Metadata for Jobs
- introduction to jobs and the job editor
- using the Join transformation
Orion Star Case Study
- defining and loading the customer dimension table
- defining and loading the organization dimension table
- defining and loading the time dimension table
Additional Features for Jobs
- importing SAS code
- propagation and mapping
- chaining jobs
- performance statistics
- metadata reports
Working with Transformations
- introduction
- using the Extract and Summary Statistics transformations
- exploring SQL transformations
- establishing status handling
- using the Data Validation transformation
- using the Transpose, Sort, Append, Rank, and List Data transformations
- basic standardizations
Course Fees
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