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Dagstuhl Seminar on Big Stream Processing
Uni Tartu, Tartu, Estonia..
TU Berlin, Berlin, Germany..
IBM Res, Yorktown Hts, NY USA..
KTH, School of Electrical Engineering and Computer Science (EECS).ORCID iD: 0000-0002-9351-8508
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2018 (English)In: SIGMOD record, ISSN 0163-5808, E-ISSN 1943-5835, Vol. 47, no 3, p. 36-39Article in journal (Refereed) Published
Abstract [en]

Stream processing can generate insights from big data in real time as it is being produced. This paper reports findings from a 2017 seminar on big stream processing, focusing on applications, systems, and languages.

Place, publisher, year, edition, pages
ASSOC COMPUTING MACHINERY , 2018. Vol. 47, no 3, p. 36-39
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:kth:diva-247780ISI: 000460402800007OAI: oai:DiVA.org:kth-247780DiVA, id: diva2:1299038
Note

QC 20190326

Available from: 2019-03-26 Created: 2019-03-26 Last updated: 2019-03-27Bibliographically approved

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