TY - CHAP U1 - Buchbeitrag A1 - Vinçon, Tobias A1 - Petrov, Ilia ED - Hertweck, Dieter T1 - Near data processing within column-oriented DBMSs for high performance analysis T2 - Digital Enterprise Computing (DEC 2016) : Böblingen, Germany, June 14 - 15, 2016 N2 - Rapidly growing data volumes push today's analytical systems close to the feasible processing limit. Massive parallelism is one possible solution to reduce the computational time of analytical algorithms. However, data transfer becomes a significant bottleneck since it blocks system resources moving data-to-code. Technological advances allow to economically place compute units close to storage and perform data processing operations close to data, minimizing data transfers and increasing scalability. Hence the principle of Near Data Processing (NDP) and the shift towards code-to-data. In the present paper we claim that the development of NDP-system architectures becomes an inevitable task in the future. Analytical DBMS like HPE Vertica have multiple points of impact with major advantages which are presented within this paper. KW - near data processing KW - modern hardware technology KW - big data KW - high performance analysis Y1 - 2016 U6 - https://nbn-resolving.org/urn:nbn:de:bsz:rt2-opus4-9362 UN - https://nbn-resolving.org/urn:nbn:de:bsz:rt2-opus4-9362 UR - http://subs.emis.de/LNI/Proceedings/Proceedings258/article5.html SN - 978-3-88579-652-7 SB - 978-3-88579-652-7 SP - 235 EP - 239 S1 - 5 PB - Gesellschaft für Informatik CY - Bonn ER -