Please use this identifier to cite or link to this item:
Publication type: Contribution to magazine or newspaper
Title: Big Big Data : Highend-Forschung
Authors : Liebhart, Daniel
DOI : 10.21256/zhaw-4191
Published in : Business Intelligence Magazine
Volume(Issue) : 2015
Issue : 3
Pages : 37
Pages to: 39
Issue Date: 2015
Publisher / Ed. Institution : ProfilePubl. Germany
ISSN: 1899-1335
Language : German
Subjects : Ecosystem; Big Data; Architecture; Analytics
Subject (DDC) : 005: Computer programming, programs and data
Abstract: Vorbild Wissenschaft: Die Analyse riesiger Datenmengen hilft als Instrument bei großen Durchbrüchen. Beispiele sind die Ergebnisse der CERN -Versuchsreihen oder die Forschungen zweier Nobelpreisträger. Dahinter steckt eine neue Reference Architecture: Das Big Data Ecosystem.
Fulltext version : Published version
License (according to publishing contract) : Licence according to publishing contract
Departement: School of Engineering
Organisational Unit: Institute of Applied Information Technology (InIT)
Appears in Collections:Publikationen School of Engineering

Files in This Item:
File Description SizeFormat 
2015_Liebhart_Big big data_Business Intelligence Magazine.pdf2.95 MBAdobe PDFThumbnail

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.