The module “Big Data Scenarios“ introduces students to the analysis of large volumes of text data in different formats (structured, semi-structured, unstructured). The module consists of four elements:
• The lecture introduces Big Data architectures, methods and concepts. To get an in-depth understanding of the introduced methods, they are applied in two types of labs:
• tool-based labs, using state-of-the-art data science software (RapidMiner) and
• method-based labs without any specific data science tool support.
• Finally, students work in teams to implement a full big data analytics solution, applying the methods and tools, which they got to know in the labs.
The module has no formal pre-requisites, but is addressed to bachelor students in their final semesters. No programming is required but good analytic skills, a high motivation and an interest to develop models.