SAS Data Integration Studio

Kurstitel / Course title Stufe / Level Kursformat / Course Format
Die wichtigsten Hadoop-Komponenten für Big Data mit SAS: ein Überblick
Dieser Kurs stellt einen allgemeinen Überblick über Hadoop und das Hadoop- Ökosystem dar. Teilnehmer erhalten eine Übersicht über die Architektur und Arbeitsweise der zentralen und optionalen Dienste und Services. Durch den Kurs sind dem Teilnehmer alle Entscheidungsgrundlagen gegeben um selbstständig in eine „Proof of Concept-Phase“ überzugehen.

Dieser Kurs wurde vom SAS Goldpartner KYBEIDOS konzipiert.Trainer: Bastian Weiß, Senior Berater für Big Data

2 Basiswissen Classroom
Using SAS® Data Management and SAS® Data Governance for Personal Data Protection and GDPR
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 Für Fortgeschrittene Classroom
IFRS17 Enablement: Train the Trainer
This training will prepare future trainers to conduct training courses for customers and partners. You will learn everything about the solution and how this knowledge is delivered through training.

3 Für Fortgeschrittene Classroom
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 e-learning includes:

  • Annotatable course notes in PDF format.
  • Virtual Lab time to practice.

3 Für Fortgeschrittene Classroom Live Web Classroom e-Learning
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 e-learning includes:

  • Annotatable course notes in PDF format.
  • Virtual Lab time to practice.

3 Für Fortgeschrittene Classroom Live Web Classroom e-Learning
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-paced e-learning includes:

  • Annotatable course notes in PDF format.
  • Virtual lab time to practice.

3 Für Fortgeschrittene 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.

The Extended Learning page for this course includes the option to purchase Virtual Lab time to practice.

The e-learning format of this course also includes the option to purchase Virtual Lab time to practice.

3 Für Fortgeschrittene Classroom Live Web Classroom e-Learning
SAS® Data Integration Studio: Additional Topics
This course expands on the knowledge acquired in SAS® Data Integration Studio: Essentials and provides additional information about 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, version control, and establishing checkpoints. Lastly, this course covers deploying jobs for scheduling and integrating with DataFlux.

The self-paced e-learning includes:

  • Annotatable course notes in PDF format.
  • Virtual lab time to practice.

4 Für Experten Classroom Live Web Classroom e-Learning
SAS® Data Integration Studio: Fast Track
This course covers 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 includes topics for 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-paced e-learning includes:

  • Annotatable course notes in PDF format.
  • Virtual lab time to practice.

4 Für Experten Classroom Live Web Classroom e-Learning