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.
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
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.
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.
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 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).
If you would like to enroll for this course, there are no formal prerequisites or limitations. The course is free and open for everyone. Just register for an account on openSAP and go for the course!Enroll me now
Find out more in the certificate guidelines.
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 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 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.