Course Summary

The massive increase in data volumes combined with the necessity to process data of different types at high velocity is driving data landscape complexity. It is often a challenge for companies to orchestrate end-to-end data flows, particularly when bridging the enterprise data and Big Data domains.

SAP Data Hub supports companies in
- managing complex data landscapes spanning on-premise and cloud environments
- defining and orchestrating end-to-end data flows across different systems and technologies
- building highly scalable data-driven applications (data pipelines)

This course gives you an overview of SAP Data Hub. You’ll study the architecture as well as the installation/deployment options. Afterwards, you’ll get an introduction to the main functions of SAP Data Hub, including learning how to model your data landscape, how to do data discovery, and how to build workflows and data pipelines. At the end of the course, you’ll hear about future developments and the roadmap of SAP Data Hub.

Here is what some participants are saying about the course:

• “I really LIKED this course, well done & thank you to those who put it together & presented it …” Read the original post

• “The pace and quality of the presentations was great, and allowed the learning to be tested in the SAP Data Hub Trial which was constructive to practice in the actual system. Thank you for a great course! …” Read the original post

• “I totally enjoyed the course. The way the course was presented made it very interesting and all the content was well explained and well detailed, informative and excellent….” Read the original post

• “I like the duration of 6-7 weeks which gives me enough time to really learn a topic and to do all the exercises….” Read the original post

Course Characteristics

• Starting from: January 15, 2019, 09:00 UTC. (What does this mean?)
  
• Duration: 6 weeks (3-4 hours per week)
  
• Final exam: February 26, 2019, 09:00 UTC - March 6, 2019, 09:00 UTC
  
• Course language: English
  
• How is an openSAP course structured?
  

Course Content

Week 1: SAP Data Hub Overview & Introduction
Week 2: Architecture & Deployment
Week 3: Landscape Management & Administration
Week 4: Metadata Management & Catalog
Week 5: Data-Driven Data Pipelines
Week 6: Outlook & Future Concepts
Week 7: Final Exam

Target Audience

• Application developers
  
• Data warehouse modelers
  
• Data engineers
  
• Data scientists
  
• Technical business analysts
  

Course Requirements

• Basic understanding of Big Data concepts
  
• Basic programming knowledge helpful (for week 5)
  
• IoT or data warehouse knowledge helpful
  

Development Systems

If your primary interest in taking this course is getting an overview of SAP Data Hub, you do not need access to a development system. However, we realize that many of you will be interested in trying out the different capabilities of SAP Data Hub yourselves. For this, we are currently working to ensure that you can access a system environment that fits to the course content. We will announce details regarding how to try out (selected capabilities of) SAP Data Hub at the beginning of the course.

Further Learning

For further learning, check out the SAP HANA Data Provisioning learning journey.

About Further Content Experts

Anish Gupta

Anish Gupta is an SAP HANA and Big Data deployment consultant at SAP IT, focusing on the landscape architecture, deployment, operations, and performance of SAP HANA, SAP IQ, and SAP Data Hub technologies. Prior to this, Anish worked as a service lead at SAP Digital Business Services, delivering core services for SAP system performance, OS/DB migration, DB6 database, and SAP HANA infrastructure to SAP customers worldwide.

Christian Tietz

Dr. Christian Tietz is a product specialist in the SAP Big Data team, focusing on SAP Data Hub and data science applications in this context. Before joining the SAP Big Data team, he worked both as an analytics consultant at SAP and as a student trainee. Christian has a PhD in mathematics.

Lofan Leung

Lofan Leung is a product manager in the SAP Big Data team, focusing on SAP Data Hub and data integration in this context. Prior to this, Lofan worked for over 10 years as a product manager for SAP Data Services (DS) and SAP Data Quality Management (DQM).