Massively Parallel Data Analysis with PACTs on Nephele. - Alexander Alexandrov 001; Dominic Battré; Stephan Ewen; Max Heimel; Fabian Hueske; Odej Kao; Volker Markl; Erik Nijkamp; Daniel Warneke (Proc. VLDB Endow., 2010)

MapReduce and PACT - Comparing Data Parallel Programming Models. - Alexander Alexandrov 001; Stephan Ewen; Max Heimel; Fabian Hueske; Odej Kao; Volker Markl; Erik Nijkamp; Daniel Warneke (BTW, 2011)

Benchmarking in the Cloud: What It Should, Can, and Cannot Be. - Enno Folkerts; Alexander Alexandrov 001; Kai Sachs; Alexandru Iosup; Volker Markl; Cafer Tosun (TPCTC, 2012)

Myriad: Scalable and Expressive Data Generation. - Alexander Alexandrov 001; Kostas Tzoumas; Volker Markl (Proc. VLDB Endow., 2012)

Distributed matrix factorization with mapreduce using a series of broadcast-joins. - Sebastian Schelter; Christoph Boden; Martin Schenck; Alexander Alexandrov 001; Volker Markl (RecSys, 2013)

Issues in big data testing and benchmarking. - Alexander Alexandrov 001; Christoph Brücke; Volker Markl (DBTest, 2013)

Composite Key Generation on a Shared-Nothing Architecture. - Marie Hoffmann; Alexander Alexandrov 001; Periklis Andritsos; Juan Soto 001; Volker Markl (TPCTC, 2014)

The Stratosphere platform for big data analytics. - Alexander Alexandrov 001; Rico Bergmann 001; Stephan Ewen; Johann-Christoph Freytag; Fabian Hueske; Arvid Heise; Odej Kao; Marcus Leich; Ulf Leser; Volker Markl; Felix Naumann; Mathias Peters; et al. (VLDB J., 2014)

Implicit Parallelism through Deep Language Embedding. - Alexander Alexandrov 001; Andreas Kunft; Asterios Katsifodimos; Felix Schüler; Lauritz Thamsen; Odej Kao; Tobias Herb; Volker Markl (SIGMOD Conference, 2015)

Emma in Action: Declarative Dataflows for Scalable Data Analysis. - Alexander Alexandrov 001; Andreas Salzmann; Georgi Krastev; Asterios Katsifodimos; Volker Markl (SIGMOD Conference, 2016)

Bridging the gap: towards optimization across linear and relational algebra. - Andreas Kunft; Alexander Alexandrov 001; Asterios Katsifodimos; Volker Markl (BeyondMR@SIGMOD, 2016)

Implicit Parallelism through Deep Language Embedding. - Alexander Alexandrov 001; Asterios Katsifodimos; Georgi Krastev; Volker Markl (SIGMOD Rec., 2016)

Emma in Action: Deklarative Datenflüsse für Skalierbare Datenanalyse. - Alexander Alexandrov 001; Georgi Krastev; Bernd Louis; Andreas Salzmann; Volker Markl (BTW, 2017)

PEEL: A Framework for Benchmarking Distributed Systems and Algorithms. - Christoph Boden; Alexander Alexandrov 001; Andreas Kunft; Tilmann Rabl; Volker Markl (TPCTC, 2017)

Big Data Platforms for Data Analytics. - Volker Markl; Vinayak R. Borkar; Matei Zaharia; Till Westmann; Alexander Alexandrov 001 (Encyclopedia of Database Systems (2nd ed.), 2018)

End-to-End Benchmarking of Deep Learning Platforms. - Vincent Deuschle; Alexander Alexandrov 001; Tim Januschowski; Volker Markl (TPCTC, 2019)

GluonTS: Probabilistic Time Series Models in Python. - Alexander Alexandrov 001; Konstantinos Benidis; Michael Bohlke-Schneider; Valentin Flunkert; Jan Gasthaus; Tim Januschowski; Danielle C. Maddix; Syama Sundar Rangapuram; David Salinas; Jasper Schulz; Lorenzo Stella; Ali Caner Türkmen; et al. (CoRR, 2019)

Representations and Optimizations for Embedded Parallel Dataflow Languages. - Alexander Alexandrov 001; Georgi Krastev; Volker Markl (ACM Trans. Database Syst., 2019)

Representations and optimizations for embedded parallel dataflow languages. - Alexander Alexandrov 001 (2019)

Scala. - Alexander Alexandrov 001 (Encyclopedia of Big Data Technologies, 2019)

GluonTS: Probabilistic and Neural Time Series Modeling in Python. - Alexander Alexandrov 001; Konstantinos Benidis; Michael Bohlke-Schneider; Valentin Flunkert; Jan Gasthaus; Tim Januschowski; Danielle C. Maddix; Syama Sundar Rangapuram; David Salinas; Jasper Schulz; Lorenzo Stella; Ali Caner Türkmen; et al. (J. Mach. Learn. Res., 2020)

A Flexible Forecasting Stack. - Tim Januschowski; Yuyang Wang 001; Jan Gasthaus; Syama Sundar Rangapuram; Caner Türkmen; Jasper Zschiegner; Lorenzo Stella; Michael Bohlke-Schneider; Danielle C. Maddix; Konstantinos Benidis; Alexander Alexandrov 001; Christos Faloutsos; et al. (Proc. VLDB Endow., 2024)

Optimizing correlated aggregate subqueries in Firebolt. - Andrés Senac; Alexander Alexandrov 001; Immanuel Haffner; Zhen Li; Benjamin Wagner (BTW, 2025)