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TU Berlin

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Publications

B

Behrouz Derakhshan, Alireza Rezaei Mahdiraji, Tilmann Rabl, Volker Markl (2019). Continuous Deployment of Machine Learning Pipelines. proceedings of the 22nd International Conference on Extending Database Technology (EDBT 2019), 397-408.

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Dominic Battré and Stephan Ewen and Fabian Hueske and Odej Kao and Volker Markl and Daniel Warneke (2010). Nephele/PACTs: A Programming Model and Execution Framework for Web-Scale Analytical Processing. SoCC '10: Proceedings of the ACM Symposium on Cloud Computing 2010. ACM, 119–130.


A

Ariane Ziehn, Marcela Charfuelan, Holmer Hemsen, Volker Markl (2019). Time Series Similarity Search for Streaming Data in Distributed Systems. DARLI_AP Workshop, co-located with EDBT/ICDT 2019

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Julio C. S. dos Anjos and Marcos D. Assuncao and Jean Bez and Cláudio F. R. Geyer and Edison Pignaton de Freitas and Alexandre Carissimi and João Paulo Carvalho Lustosa da Costa and Gilles Fedak and Felix Freitag and Volker Markl and Paul Fergus and Rubem Pereira (2015). SMART: An Application Framework for Real Time Big Data Analysis on Heterogeneous Cloud Environments. 15th IEEE International Conference on Computer and Information Technology, CIT 2015; 14th IEEE International Conference on Ubiquitous Computing and Communications, IUCC 2015; 13th IEEE International Conference on Dependable, Autonomic and Secure, 199–206.

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Anja Feldmann, Manfred Hauswirth, Volker Markl (2017). Enabling Wide Area Data Analytics with Collaborative Distributed Processing Pipelines (CDPPs). 37th International Conference on Distributed Computing Systems, ICDCS

Link to publication Link to original publication

Andreas Kunft, Asterios Katsifodimos, Sebastian Schelter, Tilmann Rabl, Volker Markl (2017). BlockJoin: Efficient Matrix Partitioning Through Joins.. In the Proceedings of the VLDB Endowment, Vol. 10, No. 13. 2017 (to be presented in VLDB 2018)

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Andreas Kunft, Lukas Stadler, Daniele Bonetta, Cosmin Basca, Jens Meiners, Sebastian Breß, Tilmann Rabl, Juan Fumero, Volker Markl (2018). ScootR: Scaling R Dataframes on Dataflow Systems. SoCC'18:, 288-300.

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Sihem Amer-Yahia and Volker Markl and Alon Y. Halevy and AnHai Doan and Gustavo Alonso and Donald Kossmann and Gerhard Weikum (2008). Databases and Web 2.0 panel at VLDB 2007. SIGMOD Record, 49-52.


Alexander Alexandrov and Rico Bergmann and Stephan Ewen and Johann-Christoph Freytag and Fabian Hueske and Arvid Heise and Odej Kao and Marcus Leich and Ulf Leser and Volker Markl and Felix Naumann and Mathias Peters and Astrid Rheinländer and Matthias J. Sax and Sebastian Schelter and Mareike Höger and Kostas Tzoumas and Daniel Warneke (2014). The Stratosphere platform for big data analytics. VLDB J., 939–964.

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Alexander Alexandrov and Christoph Brücke and Volker Markl (2013). Issues in big data testing and benchmarking. DBTest, 1.


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