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SAS Data Integration Studio

Title Level Training Formats
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.

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.

3 Intermediate Classroom e-Learning
SAS Data Integration Studio: Additional Topics
This course expands on the knowledge learned in SAS Data Integration Studio: Essentials and provides additional information on setting up change management, working with the Loop transformations, working with slowly changing dimensions, using the loader transformations, working with databases, and defining custom transformations. Also covered are impact analysis, conditional execution, metadata promotion, and version control, as well as establishing checkpoints. Lastly, this course covers deploying jobs for scheduling and integrating with DataFlux.

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.

4 Expert Classroom e-Learning
SAS Data Integration Studio: Fast Track
This course is in a boot-camp format. It includes the content of both SAS Data Integration Studio: Essentials and SAS Data Integration Studio: Additional Topics. It introduces and expands the knowledge of SAS Data Integration Studio and contains topics about registering sources and targets; creating and working with jobs; and working with transformations. This course also provides information about working with slowly changing dimensions, working with the Loop transformations, and defining new transformations.

The self-study version of this course contains structured course notes that provide a detailed overview and exercises that help you develop essential skills. There is also a Virtual Lab that enables you to practice what you learn in the course.

The e-learning version includes the following:

  • digital course notes for self-study
  • Virtual Lab: 50 hours of hands-on software practice

4 Expert Classroom e-Learning
Using SAS Data Management and SAS Data Governance for Personal Data Protection and GDPR New
To accomplish the goal of protecting personal data and to contribute to GDPR requirements for use of personal data, this course shows how SAS Data Management and SAS Data Governance techniques can be applied to identify the location of specific categories of personal data within data stores, control access to personal data, and track the use and movement of personal data in SAS Data Management job processes. These techniques combine the use of SAS Federation Server, SAS Data Integration Studio and/or DataFlux Data Management Studio, SAS Business Data Network, and SAS Lineage.

3 Intermediate Classroom Live Web Classroom
Leveraging the Power of the Quality Knowledge Base (QKB) in SAS Technology Components
This course assists SAS users with accessing the components of the Quality Knowledge Base (QKB) from within a variety of SAS technology components.

The self-study version of this course contains structured course notes that provide a detailed overview and exercises and that help you develop essential skills. There is also a Virtual Lab that enables you to practice what you learn in the course.

The e-learning includes the following:

  • digital course notes for self-study
  • Virtual Lab: 20 hours of hands-on software practice

3 Intermediate Classroom Live Web Classroom e-Learning
SAS Federation Server: Accessing and Virtualizing Enterprise Data
SAS Federation Server makes it easier for business users to access secure data for reporting and analysis. It provides a virtual layer or view, giving users the appropriate level of control without physically moving data. This frees up IT staff to focus on other tasks by giving them a simple method of sharing data using a centralized, governed security layer.

The self-study version of this course contains structured course notes that provide a detailed overview and exercises and that help you develop essential skills. There is also a Virtual Lab that enables you to practice what you learn in the course.

The e-learning includes the following:

  • digital course notes for self-study
  • Virtual Lab: 20 hours of hands-on software practice

3 Intermediate Classroom Live Web Classroom e-Learning
Hadoop Data Management with Hive, Pig, and SAS
In this course, you use processing methods to prepare structured and unstructured big data for analysis. You learn to organize this data into structured tabular form using Apache Hive and Apache Pig. You also learn SAS software technology and techniques that integrate with Hive and Pig and how to leverage these open source capabilities by programming with Base SAS and SAS/ACCESS Interface to Hadoop, and with SAS Data Integration Studio.

3 Intermediate Classroom Live Web Classroom e-Learning