Practical Course Enterprise Software (IN2128, IN2106, IN212807)
Entwicklungspraktikum Unternehmenssoftware - Big Data Analytics - Entwicklung innovativer Anwendungen auf Basis von SAP HANA (IN2128, IN2106, IN212807)
Course 821009035 in SS 2015
General Data
| Course Type | practical training |
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| Semester Weekly Hours | 6 SWS |
| Organisational Unit | Informatics 17 - Chair of Information Systems and Business Process Management (Prof. Rinderle-Ma) |
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| Dates |
Assignment to Modules
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IN2106: Master-Praktikum / Advanced Practical Course
This module is included in the following catalogs:- Further Modules from Other Disciplines
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 use 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. Again some practical exercises will help you to understand the theoretical basis. After the lecture part with exercises, you will first work on a small homework alone, than work on a practical task in groups for a couple of weeks. As this new technology is quite interesting for several companies and as there are only a few experts right now, having taken part in this course successfully might help you with your job applications later on. |
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| Links |
Course documents E-Learning course (e. g. Moodle) Additional information TUMonline entry |