Descrição

Portugal -- SAS Data Integration Studio: Essentials

Portugal

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.
Learn how to
  • 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 Data integration developers and data integration architects Formats available Duration
: 21 hours/180 day license

Before attending this course, you should have experience with SAS programming basics. You can gain this experience by completing the course.

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

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
DI149.

06 Junho
www.sas.com