Advanced Practical Lab Course for Enterprise Software - Big Data Analytics - Development of Innovative Applikation Based on SAP HANA (IN2128, IN2106, IN212802)
Entwicklungspraktikum Unternehmenssoftware - Big Data Analytics - Entwicklung innovativer Anwendungen auf Basis von SAP HANA (IN2128, IN2106, IN212802)
Course 821009035 in SS 2017
General Data
| Course Type | practical training |
|---|---|
| Semester Weekly Hours | 6 SWS |
| Organisational Unit | Informatics 17 - Chair of Information Systems and Business Process Management (Prof. Rinderle-Ma) |
| Lecturers |
Responsible/Coordination: Helmut Krcmar |
| 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 | The latest in-memory databases have a have a huge impact on the architecture and applications of enterprises systems. Up to now, companies use ERP systems for transactional data processing (OLTP) and data warehouse systems for reporting (OLAP). Data is copied from the ERP system to the data warehouse system in periodic batch jobs (ETL). With in-memory databases, these two worlds are growing now together, as this kind of database can support both OLTP and OLAP processing in a high-performant way. In this class you learn 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, loading data into the database and analyse it with SAP Lumira tool. Furthermore, you will get in touch with SAP Predictive Analytics, 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, then work on a project in groups for a couple of weeks. |
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| Links |
Course documents E-Learning course (e. g. Moodle) Additional information TUMonline entry |