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Practical Course: Big Data Analytics - Development of innovative Applications on SAP HANA (IN2128, IN2106, IN212807)
Entwicklungspraktikum: Big Data Analytics - Entwicklung innovativer Anwendungen auf Basis von SAP HANA (IN0012, IN2106, IN2128)

Course 0000000661 in WS 2015/6

General Data

Course Type Practical Course
Semester Weekly Hours 6 SWS
Organisational Unit Informatics 17 - Chair of Information Systems (Prof. Krcmar)
Lecturers
Dates

Assignment to Modules

Further Information

Courses are together with exams the building blocks for modules. Please keep in mind that information on the contents, learning outcomes and, especially examination conditions are given on the module level only – see section "Assignment to Modules" above.

additional remarks High performance in-memory appliances might have a huge impact on enterprises information systems. Today most companies are using ERP systems for transactional data and data warehouse systems for reporting. Data is copied from the ERP to the data warehouse system in periodic batch jobs. Learn in this class how in-memory technologies realize high performance data processing using efficient technologies such as row and column storage, partitioning, compression, multithreading and special indexing. In addition you will conduct practical exercises with SAP HANA. In a first step you will load data into the database and analyse it with Business Object tools. Furthermore, you will get in touch with SAP Predictive Analysis, the data mining tool based on HANA as well as with visualising data with SAPUI5. Again, some practical exercises will help you to understand the theoretical basis. After the lecture part with exercises, you will first work on an individual homework before than work on a practical task in groups for a couple of weeks.
Links E-Learning course (e. g. Moodle)
TUMonline entry
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