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B

Big Data - An Interdisciplinary Opportunity for Information Systems Research

Michael Schermann and Holmer Hemsen and Christoph Buchmüller and Till Bitter and Helmut Krcmar and Volker Markl and Thomas Hoeren

Business & Information Systems Engineering, 261–266. 2014

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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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Heatflip: Temporal-Spatial Sampling for Progressive Heat Maps on Social Media Data

Niklas Stoehr, Johannes Meyer, Volker Markl, Qiushi Bai, Taewoo Kim, De-Yu Chen, Chen Li

BigData 2018, 3723-3732. 2018

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A

Extracting a Repository of Events and Event References from News Clusters

Akbik Alan Julinda Silvia Boden Christoph

Association for Computational Linguistics, S. 49-53. 2014

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A First Step Towards GPU-assisted Query Optimization

Max Heimel, Volker Markl

ADMS@VLDB, 33-44. 2012

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Representations and Optimizations for Embedded Parallel Dataflow Languages

Alexander Alexandrov, Georgi Krastev, Volker Markl

ACM Transactions on Database Systems (TODS 2019) 2019

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AStream: Ad-hoc Shared Stream Processing

Jeyhun Karimov, Tilmann Rabl, Volker Markl

Proceedings of the 2019 International Conference on Management of Data (SIGMOD 2019), 607–622. 2019

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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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3

Enabling Wide Area Data Analytics with Collaborative Distributed Processing Pipelines (CDPPs)

Anja Feldmann, Manfred Hauswirth, Volker Markl

37th International Conference on Distributed Computing Systems, ICDCS 2017

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Muses: Distributed Data Migration System for Polystores

Abdulrahman Kaitoua, Tilmann Rabl, Asterios Katsifodimos, Volker Markl

35th IEEE International Conference on Data Engineering, ICDE 2019

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