- Study format:
- Inhouse Program
- Credit points:
- 2 ECTS (50 h. Workload)
- RWTH Executive Certificate
- German or English
Experience the difference between "Big Data" and "Industrial Big Data" in the production context. You will gain insight into the integration tools and structures required for highly distributed data analysis. In addition, you will learn the basic structures of Big Data ecosystems and Big Data in the cloud.
▶ Data integration, analysis, and data mining: Big Data and machine learning
▶ Big Data ecosystems: from isolated solution to Industrial Data Lake
▶ Integration of heterogeneous source systems of industrial data
▶ Data-driven procedures and machine learning
Group of Participants
You are an engineer from the fields of mechanical and/or electrical engineering with a basic understanding of data concepts.
Data is the oil of the 21st century, and data analysis is the engine! Despite the multi-faceted collection of production data, the targeted usage of these data is often lacking since data integration and comparative observation are often fraught with difficulties. With the correct analysis, however, data reveal hidden patterns and connections assisting in process optimization and continuous improvement.
The course takes place on five consecutive days and ends with an exam. Course content is developed and consolidated in interactive lectures, group work, presentations and case studies.
Further information regarding the certificate course "Big Data in Production"
First Day: "Introduction to Data Integration, Analysis and Data Mining"
Second Day: "Data Source Systems"
Third Day: "Practical Session"
Fourth Day: "From Data Analytics to Big Data"
Fifth Day: "Introduction to various visual analytics tools"
Chair of Information Management in Mechanical Engineering (IMA) of the RWTH Aachen
Dr. Max Hoffmann
Dr. Max Hoffmann
Exemplary module plan (subject to change)
Big Data in Production