SAS Data Integration Studio: Fast Track

Course Contents

Overview of SAS Data Integration Studio

exploring the platform for SAS Business Analytics reviewing the course data and 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 for target data

Creating Metadata for Jobs

introduction to jobs and the job editor using the SQL join transformation

Additional Features for Jobs

importing SAS code working with propagation and mappings chaining jobs investigating performance statistics

Working with Transformations

working with the extract transformation working with summary statistics transformation exploring status handling for transformations and jobs working with the data validation transformation working with the sort transformation working with the append transformation working with the transpose transformation working with the apply lookup standardization transformation

Working with Slowly Changing Dimensions

defining slowly changing dimensions

using the SCD Type 2 Loader and Lookup transformations introducing the Change Data Capture transformations (self-study)

Working with Loop Transformations

introduction to Loop transformations iterating a job with Loop transformations iterating a single transformation with Loop transformations

Defining New Transformations

SAS code transformations using the new transformation wizard

Working with Tables and the Table Loader Transformation

basics of the Table Loader transformation load styles of the Table Loader transformation table properties and load techniques of the Table Loader transformation

Additional Topics for SAS Data Integration Studio Users

overview analyzing metadata using impact analysis metadata promotion metadata reports checkpoint/restart deploying jobs for scheduling deploying jobs as SAS Stored Processes

Implementing Data Quality Techniques (self-study)

SAS and data quality working with the DataFlux IS transformations