A Study of Partitioning and Parallel UDF Execution with the SAP HANA Database

A Study of Partitioning and Parallel UDF Execution with the SAP HANA Database

Large-scale data analysis relies on custom code both for preparing the data for analysis as well as for the core analysis algorithms. The map-reduce framework offers a simple model to parallelize custom code, but it does not integrate well with relational databases. Likewise, the literature on optim...

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Bibliographic Details
Main Authors: Große, Philipp, May, Norman, Lehner, Wolfgang
Other Authors: Technische Universität Dresden, Fakultät Informatik
Format: Others
Language:English
Published: Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden 2014
Subjects:
UDF
Datenbanken
Optimierung
SAP HANA
benutzerdefinierte Funktionen
Database
Optimization
user-defined functions
ddc:004
rvk:SS 5514
Online Access:http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-144026
http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-144026
http://www.qucosa.de/fileadmin/data/qucosa/documents/14402/TechBerichte_201403_GrosseMayLehner.pdf

Internet

http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-144026
http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-144026
http://www.qucosa.de/fileadmin/data/qucosa/documents/14402/TechBerichte_201403_GrosseMayLehner.pdf

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