DataFlux Data Management Studio

Başlık Seviye Eğitim Formatları
DataFlux Data Management Studio: Essentials
This course is for data quality stewards who perform data management tasks, such as data quality improvements, data enrichment and entity resolution.

3 Intermediate Classroom
DataFlux Data Management Studio: Advanced
This course explains some advanced topics for the DataFlux technology through a combination of hands-on exercises, demonstrations, and classroom discussions.

3 Intermediate 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.

3 Intermediate e-Learning
SAS Data Governance Essentials
This course teaches you how to create and manage terms using SAS Business Data Network, how to access and view relationship information in SAS Lineage, and how to monitor data in SAS Business Rules Manager and view the monitoring results in SAS Visual Analytics.

The self-study e-learning includes:

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

3 Intermediate Live Web Classroom e-Learning
DataFlux Data Management Studio: Customize the Quality Knowledge Base (QKB)
This course is designed for data quality stewards that need to learn more about the Quality Knowledge Base (QKB) and using the DataFlux Data Management Platform Customize application.

4 Expert Classroom
DataFlux Data Management Studio: Fast Track
This course covers the majority of content of both DataFlux Data Management Studio: Essentials and DataFlux Data Management Studio: Advanced. It introduces and expands the knowledge of DataFlux Data Management Studio and includes topics for data explorations and profiling, data jobs to perform data management tasks (such as data quality and entity resolution), data monitoring, usage of DataFlux Expression Engine language, custom metrics, macro variables and process jobs.

4 Expert Classroom Live Web Classroom e-Learning