Join this free open online course to learn about SAP Data Hub. The course will provide you with an overview of the architecture as well as the installation/deployment options, and is aimed at application developers, data warehouse modelers, data engineers, data scientists, and technical business analysts.
Selbststudium
Kurssprache: English
Untertitel (maschinell übersetzt): Deutsch, Französisch, Spanisch

Kursinformationen

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

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

enter image description hereFor further learning, check out the SAP HANA Data Provisioning learning journey.

About Further Content Experts

Anish Gupta

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

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

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). 

Lernmaterial

  • Week 1:

    SAP Data Hub Overview and Introduction
  • Week 2:

    Architecture and Deployment
  • Week 3:

    Landscape Management & Administration
  • Week 4:

    Metadata Management & Catalog
  • Week 5:

    Data-Driven Data Pipelines
  • Week 6:

    Outlook and Future Concepts
  • I Like, I Wish:

    We Love Your Feedback … And Want More
  • Final Exam:

    Good Luck!

Diesen Kurs reaktivieren

Diesen Kurs können Sie reaktivieren und so die Möglichkeit erhalten, sich noch für ein Zeugnis zu qualifizieren. Weitere Informationen finden Sie hier — oder buchen Sie jetzt!

Für diesen Kurs einschreiben

Der Kurs ist kostenlos. Legen Sie sich einfach ein Benutzerkonto auf openSAP an und nehmen Sie am Kurs teil!
Jetzt einschreiben

Dieser Kurs wurde vom 15. Januar 2019 bis 6. März 2019 gehalten.

Am ersten Tag dieses Kurses waren 8146 Teilnehmer eingeschrieben.

Bis zur Abschlussarbeit hat sich diese Zahl auf 11982 erhöht.

14467 Teilnehmer eingeschrieben.

Bewertungen

Der Kurs wurde mit durchschnittlich 4.43 Sternen bei 1145 abgegebenen Stimmen bewertet.

Anforderungen für Leistungsnachweise

  • Das Zeugnis erhält, wer in der Summe aller benoteten Aufgaben mehr als 50% der Höchstpunktzahl erreicht hat.
  • Die Teilnahmebestätigung erhält, wer auf zumindest 50% der Kursunterlagen zugegriffen hat.

Mehr Informationen finden Sie in den Richtlinien für Leistungsnachweise.

Dieser Kurs wird angeboten von

Tobias Koebler

Tobias Koebler is a product expert for SAP’s Big Data portfolio, where his focus is on SAP Data Hub. Prior to this, Tobias worked for over 10 years as a product manager and team lead for SAP Landscape Transformation Replication Server (SLT) and SAP S/4HANA migration cockpit. 

Christian Sengstock

Christian Sengstock is a senior developer in the SAP Big Data team. His main focus is on data pipeline development and solution architectures. As a development angel, he helps customers to successfully implement their SAP Data Hub scenarios.

Before joining SAP Christian worked as an J2EE consultant and as a lecturer and postdoctoral researcher in data mining and knowledge discovery.

Ulrich Christ

Ulrich Christ is a product manager for SAP HANA, focusing on data warehousing. He is also a senior expert in data warehousing with SAP Business Warehouse (SAP BW) and SAP HANA.

Before joining the Product Management team, Ulrich worked as an architect in BW development.

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