Industrial Big Data in Practice

Successfully Mastering Large Data Volumes

Participants will discover the difference between "Big Data" and "Industrial Big Data" in the context of production. They will gain insight into the integration tools and structures required for highly distributed data analysis. In addition, they are introduced to the basic structures of big data ecosystems and big data in the cloud.

Course Contents

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
Engineers/Computer Scientists in the areas of mechanical engineering, electrical engineering, and computer science with programming knowledge in C++ and Python

Data are 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 right analysis, though, 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.

Module Overview                   


Study format:
Inhouse Program
Course fees:
Upon request
RWTH Executive Certificate
German or English

We are happy to offer this course individually tailored to your company needs. Ask for your Inhouse Program offer now!

We Look Forward to Advising You

(v. l. n. r. Maria Panagiotidou, Sonja Kaufmann, Jael Schröder, Kim Schönberg) (FLTR Maria Panagiotidou, Sonja Kaufmann,
Jael Schröder, Kim Schönberg)


Your Team
Certificate Courses & Inhouse-Programs

Tel.: +49 241 80 97865