M
Mathias Peters
Researcher at Humboldt University of Berlin
Publications - 6
Citations - 825
Mathias Peters is an academic researcher from Humboldt University of Berlin. The author has contributed to research in topics: Query optimization & Big data. The author has an hindex of 4, co-authored 6 publications receiving 727 citations.
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Journal ArticleDOI
The Stratosphere platform for big data analytics
Alexander Alexandrov,Rico Bergmann,Stephan Ewen,Johann-Christoph Freytag,Fabian Hueske,Arvid Heise,Odej Kao,Marcus Leich,Ulf Leser,Volker Markl,Felix Naumann,Mathias Peters,Astrid Rheinländer,Matthias J. Sax,Sebastian Schelter,Mareike Hoger,Kostas Tzoumas,Daniel Warneke +17 more
TL;DR: The overall system architecture design decisions are presented, Stratosphere is introduced through example queries, and the internal workings of the system’s components that relate to extensibility, programming model, optimization, and query execution are dive into.
Journal ArticleDOI
Mapping pan-European land cover using Landsat spectral-temporal metrics and the European LUCAS survey
TL;DR: In this article, the authors analyzed the potential of combining the large European-wide land survey LUCAS (Land Use/Cover Area frame Survey) and Landsat-8 data for mapping pan-European land cover and land use.
Posted Content
Opening the Black Boxes in Data Flow Optimization
Fabian Hueske,Mathias Peters,Matthias J. Sax,Astrid Rheinländer,Rico Bergmann,Aljoscha Krettek,Kostas Tzoumas +6 more
TL;DR: In this paper, the problem of performing data flow optimization at this level of abstraction, where the semantics of operators are not known, was addressed by statically analyzing the general-purpose code of their user-defined functions.
Journal ArticleDOI
Opening the black boxes in data flow optimization
Fabian Hueske,Mathias Peters,Matthias J. Sax,Astrid Rheinländer,Rico Bergmann,Aljoscha Krettek,Kostas Tzoumas +6 more
TL;DR: This work design and implement an optimizer for parallel data flows that does not assume knowledge of semantics or algebraic properties of operators, and can optimize the operator order of nonrelational data flows, a unique feature among today's systems.