OpenSAP

Freedom of Data with SAP Data Hub (OpenSAP)

Offered by SAP,
Freedom of Data with SAP Data Hub (OpenSAP)

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.

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.

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

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Data Warehouse Concepts, Design, and Data Integration (Coursera) Coursera
University of Colorado System

Data Warehouse Concepts, Design, and Data Integration (Coursera)

CS: Design & Product

This is the second course in the Data Warehousing for Business Intelligence specialization. Ideally, the courses should be taken in sequence. In this course, you will learn exciting concepts and skills for designing data warehouses and creating data integration workflows. These are fundamental skills for data warehouse developers and administrators. You will have hands-on experience for data warehouse design and use open source products for manipulating pivot tables and creating data integration workflows.

Nov 9th 2026
5-12 Weeks
Business Intelligence Data Warehousing Data Warehouse
Details
Big Data Science with the BD2K-LINCS Data Coordination and Integration Center (Coursera) Coursera
Icahn School of Medicine at Mount Sinai

Big Data Science with the BD2K-LINCS Data Coordination and Integration Center (Coursera)

Health & Society Science

In this course we briefly introduce the DCIC and the various Centers that collect data for LINCS. We then cover metadata and how metadata is linked to ontologies. We then present data processing and normalization methods to clean and harmonize LINCS data. This follow discussions about how data is served as RESTful APIs. Most importantly, the course covers computational methods including: data clustering, gene-set enrichment analysis, interactive data visualization, and supervised learning. Finally, we introduce crowdsourcing/citizen-science projects where students can work together in teams to extract expression signatures from public databases and then query such collections of signatures against LINCS data for predicting small molecules as potential therapeutics.

Nov 16th 2026
5-12 Weeks
Network Analysis Big Data
Details
Data Science for Business Innovation (Coursera) Coursera
Politecnico di Milano,EIT Digital

Data Science for Business Innovation (Coursera)

Statistics & Data Analysis Data Science

The course is a compendium of the must-have expertise in data science for executive and middle-management to foster data-driven innovation. It consists of introductory lectures spanning big data, machine learning, data valorization and communication. Topics cover the essential concepts and intuitions on data needs, data analysis, machine learning methods, respective pros and cons, and practical applicability issues.

Nov 16th 2026
4 Weeks
NoSQL Machine Learning Big Data
Details
Customer Analytics (Coursera) Coursera
University of Pennsylvania

Customer Analytics (Coursera)

Statistics & Data Analysis Data Science

Data about our browsing and buying patterns are everywhere. From credit card transactions and online shopping carts, to customer loyalty programs and user-generated ratings/reviews, there is a staggering amount of data that can be used to describe our past buying behaviors, predict future ones, and prescribe new ways to influence future purchasing decisions. In this brand new course, four of Wharton’s top marketing professors will dive deeper into the key areas of customer analytics: descriptive analytics, predictive analytics, prescriptive analytics, and their application to real-world business practices including Amazon, Google, and Starbucks to name a few.

Nov 9th 2026
5-12 Weeks
Data Google Business Strategy
Details
Code Free Data Science (Coursera) Coursera
University of California, San Diego

Code Free Data Science (Coursera)

Data Science

The Code Free Data Science class is designed for learners seeking to gain or expand their knowledge in the area of Data Science. Participants will receive the basic training in effective predictive analytic approaches accompanying the growing discipline of Data Science without any programming requirements. Machine Learning methods will be presented by utilizing the KNIME Analytics Platform to discover patterns and relationships in data.

Nov 23rd 2026
4 Weeks
Machine Learning Big Data Data Science
Details
Managing Big Data with MySQL (Coursera) Coursera
Duke University

Managing Big Data with MySQL (Coursera)

Statistics & Data Analysis Data Science

This course is an introduction to how to use relational databases in business analysis. You will learn how relational databases work, and how to use entity-relationship diagrams to display the structure of the data held within them. This knowledge will help you understand how data needs to be collected in business contexts, and help you identify features you want to consider if you are involved in implementing new data collection efforts.

Nov 9th 2026
5-12 Weeks
Databases SQL Big Data
Details
The Importance of Listening (Coursera) Coursera
Northwestern University

The Importance of Listening (Coursera)

Marketing & Communication Business

In this second MOOC in the Social Marketing Specialization - "The Importance of Listening" - you will go deep into the Big Data of social and gain a more complete picture of what can be learned from interactions on social sites. You will be amazed at just how much information can be extracted from a single post, picture, or video.

Nov 9th 2026
4 Weeks
Marketing Big Data Social Media
Details