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TU Berlin

Inhalt des Dokuments

Publikationen

2018

Big Data Platforms for Data Analytics

Volker Markl, Vinayak R. Borkar, Matei Zaharia, Till Westmann, Alexander Alexandrov

Encyclopedia of Database Systems, Second Edition. Springer. 2018

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Sharing hash codes for multiple purposes

Wiktor Pronobis, Danny Panknin, Johannes Kirschnick, Vignesh Srinivasan, Wojciech Samek, Volker Markl, Manohar Kaul, Klaus-Robert Müller, Shinichi Nakajima

Japanese Journal of Statistics and Data Science, 215–246. 2018

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Benchmarking Distributed Stream Data Processing Systems

Jeyhun Karimov, Tilmann Rabl, Asterios Katsifodimos, Roman Samarev, Henri Heiskanen, Volker Markl

34th IEEE International Conference on Data Engineering, ICDE 2018, Paris, France, April 16-19, 2018, 1507-1518. 2018

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Pipelined Query Processing in Coprocessor Environments

Henning Funke Sebastian Breß Stefan Noll Volker Markl Jens Teubner

In International Conference on Management of Data (SIGMOD 2018), 1603-1618. 2018

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ScootR: Scaling R Dataframes on Dataflow Systems

Andreas Kunft, Lukas Stadler, Daniele Bonetta, Cosmin Basca, Jens Meiners, Sebastian Breß, Tilmann Rabl, Juan Fumero, Volker Markl

SoCC'18:, 288-300. 2018

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Mosaics in Big Data, Stratosphere, Apache Flink, and Beyond

Volker Markl

ACM International Conference on Distributed and Event-based Systems (DEBS 2018):, 7-13. 2018

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2017

BlockJoin: Efficient Matrix Partitioning Through Joins.

Andreas Kunft, Asterios Katsifodimos, Sebastian Schelter, Tilmann Rabl, Volker Markl

In the Proceedings of the VLDB Endowment, Vol. 10, No. 13. 2017 (to be presented in VLDB 2018) 2017

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Gilbert: Declarative Sparse Linear Algebra on Massively Parallel Dataflow Systems

Till Rohrmann, Sebastian Schelter, Tilmann Rabl, Volker Markl

Fachtagung für Business, Technologie und Web (BTW) 2017

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Large-Scale Data Stream Processing Systems

Paris Carbone, Gábor E. Gévay, Gábor Hermann, Asterios Katsifodimos, Juan Soto, Volker Markl, Seif Haridi

Book chapter on Large-Scale Data Stream Processing Systems, part of the Handbook of Big Data Technologies 2017 (Elsevier): 219-260. 2017

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