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Authors: Philipp Große 1 ; Wolfgang Lehner 2 and Norman May 1

Affiliations: 1 SAP AG, Germany ; 2 TU Dresden, Germany

Keyword(s): MapReduce, Advanced Analytics, Machine Learning, Data Mining, In-memory Database.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Biomedical Engineering ; Business Analytics ; Data Analytics ; Data Engineering ; Data Management and Quality ; Data Mining ; Databases and Information Systems Integration ; Datamining ; Enterprise Information Systems ; Health Information Systems ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Predictive Modeling ; Sensor Networks ; Signal Processing ; Soft Computing ; Symbolic Systems ; Text Analytics

Abstract: Complex database applications require complex custom logic to be executed in the database kernel. Traditional relational databases lack an easy to-use programming model to implement and tune such user defined code, which motivates developers to use MapReduce instead of traditional database systems. In this paper we discuss four processing patterns in the context of the distributed SAP HANA database that even go beyond the classic MapReduce paradigm. We illustrate them using some typical Machine Learning algorithms and present experimental results that demonstrate how the data flows scale out with the number of parallel tasks.

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Paper citation in several formats:
Große, P.; Lehner, W. and May, N. (2013). Advanced Analytics with the SAP HANA Database. In Proceedings of the 2nd International Conference on Data Technologies and Applications - DATA; ISBN 978-989-8565-67-9; ISSN 2184-285X, SciTePress, pages 61-71. DOI: 10.5220/0004430800610071

@conference{data13,
author={Philipp Große. and Wolfgang Lehner. and Norman May.},
title={Advanced Analytics with the SAP HANA Database},
booktitle={Proceedings of the 2nd International Conference on Data Technologies and Applications - DATA},
year={2013},
pages={61-71},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004430800610071},
isbn={978-989-8565-67-9},
issn={2184-285X},
}

TY - CONF

JO - Proceedings of the 2nd International Conference on Data Technologies and Applications - DATA
TI - Advanced Analytics with the SAP HANA Database
SN - 978-989-8565-67-9
IS - 2184-285X
AU - Große, P.
AU - Lehner, W.
AU - May, N.
PY - 2013
SP - 61
EP - 71
DO - 10.5220/0004430800610071
PB - SciTePress

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