Industrial Big Data in Practice

Holistic Production Analyses via Big Data Procedures

Experience the difference between "Big Data" and "Industrial Big Data" in the context of production. You will receive insight into the required integration tools and structures of a highly distributed data analysis.

Course Highlights

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

Motivation
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.

Methodology
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.

Scientific Lead & Speakers
Module Overview

Quickfacts

Study format:
Certificate Course
Duration:
upon request
Course fees:
upon request
Qualification:
RWTH Executive Certificate
Language:
German or English