Logo des Repositoriums
 
Zeitschriftenartikel

Data Lakes

Vorschaubild nicht verfügbar

Volltext URI

Dokumententyp

Text/Journal Article

Zusatzinformation

Datum

2017

Zeitschriftentitel

ISSN der Zeitschrift

Bandtitel

Verlag

Springer

Zusammenfassung

By moving data into a centralized, scalable storage location inside an organization – the data lake – companies and other institutions aim to discover new information and to generate value from the data. The data lake can help to overcome organizational boundaries and system complexity. However, to generate value from the data, additional techniques, tools, and processes need to be established which help to overcome data integration and other challenges around this approach. Although there is a certain agreed-on notion of the central idea, there is no accepted definition what components or functionality a data lake has or how an architecture looks like. Throughout this article, we will start with the central idea and discuss various related aspects and technologies.

Beschreibung

Mathis, Christian (2017): Data Lakes. Datenbank-Spektrum: Vol. 17, No. 3. Springer. PISSN: 1610-1995. pp. 289-293

Schlagwörter

Zitierform

DOI

Tags