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Towards Streamlined Big Data Analytics
KTH, School of Information and Communication Technology (ICT), Electronic, Computer and Software Systems, ECS. (SCS)ORCID iD: 0000-0002-6718-0144
Number of Authors: 9
2016 (English)In: ERCIM News, ISSN 0926-4981, E-ISSN 1564-0094, no 107, 31-32 p.Article in journal (Other academic) [Artistic work] Published
Place, publisher, year, edition, pages
2016. no 107, 31-32 p.
National Category
Computer Science
Identifiers
URN: urn:nbn:se:kth:diva-199037OAI: oai:DiVA.org:kth-199037DiVA: diva2:1059601
Note

QC 20170119

Available from: 2016-12-22 Created: 2016-12-22 Last updated: 2017-01-19Bibliographically approved

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http://ercim-news.ercim.eu/en107/special/towards-streamlined-big-data-analytics

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