Integrated course, 3.00 ECTS
The course provides an application-oriented introduction to Big Data data models and architectures. Storage and database systems in the Big Data environment are then tested and studied using practice-oriented training scenarios. Particular emphasis is placed on the development of interfaces and connectivity options for current software technologies. Further topics, which are finally developed by means of practical exercises, include Big Data Views and Queues, Performance and Tuning. Special care is taken to provide enough room for discussion of current technological developments in the area of ??Big Data.
On completion of the course, students have extensive knowledge of big-data systems and statistical methods for data analysis.
Recommended or required reading and other learning resources / tools
Books: Cleve J. Data Mining; Marz N. Big Data; ; Hedderich J., Scahs L. Angewandte Statistik: Methodensammlung mit R
Professional Journals: ACM Transactions on Database Systems, Journal of Big Data, BI-SPEKTRUM
Mode of delivery
Prerequisites and co-requisites
Software Engineering 2, Computer Science 2
Assessment methods and criteria