Logo des Repositoriums
 
Konferenzbeitrag

Preserving Recomputability of Results from Big Data Transformation Workflows

Lade...
Vorschaubild

Volltext URI

Dokumententyp

Text/Conference Paper

Zusatzinformation

Datum

2017

Zeitschriftentitel

ISSN der Zeitschrift

Bandtitel

Verlag

Gesellschaft für Informatik e.V.

Zusammenfassung

The ability to recompute results from raw data at any time is important for data-driven companies to ensure data stability and to selectively incorporate new data into an already delivered data product. When external systems are used or data changes over time this becomes even more challenging. In this paper, we propose a system architecture which ensures recomputability of results from big data transformation workflows on internal and external systems by using distributed key-value data stores.

Beschreibung

Kricke, Matthias; Grimmer, Martin; Schmeißer, Michael (2017): Preserving Recomputability of Results from Big Data Transformation Workflows. Datenbanksysteme für Business, Technologie und Web (BTW 2017) - Workshopband. Bonn: Gesellschaft für Informatik e.V.. PISSN: 1617-5468. ISBN: 978-3-88579-660-2. pp. 227-236. Scalable Cloud Data Management Workshop (SCDM 2017). Stuttgart. 6.-10. März 2017

Zitierform

DOI

Tags