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04.03.2019 - 08-03.2019


Tuesday Wednesday Thursday Friday





Student program

Data Science Challenge








Scientific program

Industrial program


Scientific program

Industrial program


Keynote FGDB Meeting   

Get Together

Poster Session


The exact schedule will follow shortly.


  • Ihab Ilyas (U Waterloo)
  • Frank Renkes (SAP Walldorf)
  • Stefanie Rinderle-Ma (U Vienna)
  • Timothy Tangherlini (UCLA)


  • Wolfram Wingerath, Felix Gessert and Norbert Ritter:
    NoSQL & Real-Time Data Management in Research & Practice

  • Tanya Braun:
    StarAI or StarDB?

  • Lena Wiese:
    Data Analytics with Graph Algorithms – A Hands-on Tutorial with Neo4J

Accepted contributions in the scientific program:

  • Maximilian Schüle, Frédéric Simonis, Thomas Heyenbrock, Alfons Kemper, Stephan Günnemann and Thomas Neumann:
    In-Database Machine Learning: Gradient Descent and Tensor Algebra for Main Memory Database Systems

  • Matthias Boehm, Alexandre Evfimievski and Berthold Reinwald:
    Efficient Data-Parallel Cumulative Aggregates for Large-Scale Machine Learning

  • Nadine Steinmetz, Ann-Katrin Arning and Kai-Uwe Sattler:
    From Natural Language Questions to SPARQL Queries: A Pattern-based Approach

  • Maximilian Schüle, Linnea Passing, Alfons Kemper and Thomas Neumann:
    Ja-(zu-)SQL: Evaluation einer SQL-Skriptsprache für Hauptspeicherdatenbanksysteme

  • Bernhard Radke and Thomas Neumann: LinDP++:
    Generalizing Linearized DP to Crossproducts and Non-Inner Joins

  • Cornelia Kiefer, Peter Reimann and Bernhard Mitschang:
    A hybrid information extraction approach exploiting structured data within a text mining process

  • Christoph Lofi, Manuel Valle Torre and Mengmeng Ye: Perceptual Relational Attributes:
    Navigating and Discovering Shared Perspectives from User-Generated Reviews

  • Stefan Klauck, Max Plauth, Sven Knebel, Marius Strobl, Douglas Santry and Lars Eggert:
    Eliminating the Bandwidth Bottleneck of Central Query Dispatching Through TCP Connection Hand-Over

  • Jan Martin Keil:
    Efficient Bounded Jaro-Winkler Similarity Based Search

  • Michael Günther, Maik Thiele and Wolfgang Lehner:
    Fast Approximated Nearest Neighbor Joins For Relational Database Systems

  • Nikolaus Glombiewski, Bernhard Seeger and Goetz Graefe:
    Waves of Misery After Index Creation

  • Johannes Pietrzyk, Annett Ungethüm, Dirk Habich and Wolfgang Lehner:
    Fighting the Duplicates in Hashing: Conflict Detection-aware Vectorization of Linear Probing

  • Adrian Bartnik, Bonaventura Del Monte, Tilmann Rabl and Volker Markl:
    On-the-fly Reconfiguration of Query Plans for Stateful Stream Processing Engines

  • Xiao Chen, Gabriel Campero Durand, Roman Zoun, David Broneske, Yang Li and Gunter Saake:
    The Best of Both Worlds: Combining Hand-Tuned and Word-Embedding-Based Similarity Measures for Entity Resolution

  • Matthias Kricke, Eric Peukert and Erhard Rahm:
    Graph Data Transformations in Gradoop

Accepted contributions in the industrial program:

  • Adrian Vogelsgesang, Tobias Muehlbauer, Viktor Leis, Thomas Neumann and Alfons Kemper:

    Domain Query Optimization: Adapting the General-Purpose Database System Hyper for Tableau Workloads

  • Knut Stolze, Felix Beier and Jens Müller:

    Partial Reload of Incrementally Updated Tables in Analytic Database Accelerators

  • David Allen, Amy Hodler, Michael Hunger, Martin Knobloch, William Lyon, Mark Needham and Hannes Voigt:

    Understanding Trolls with Efficient Analytics of Large Graphs in Neo4j

  • Christoph Gröger and Eva Hoos:

    Ganzheitliches Metadatenmanagement im Data Lake: Anforderungen, IT-Werkzeuge und Herausforderungen in der Praxis

  • Mark Reinke, André Kischkel, Volker Jahns, Uwe Crenze and Olga Beltcheva:

    Einsatz kognitiver Verfahren am Deutschen Patent- und Markenamt

  • Uwe Jugel, Juan De Dios Santos, Evelyn Trautmann and Diogo Behrens:

    Fighting Spam in Dating Apps

  • Martin Oberhofer, Lars Bremer and Mariya Chkalova:

    Machine Learning Applied to the Clerical Task Management Problem in Master Data Management Systems

  • Yvonne Hegenbarth and Gerald Ristow:

    Konzept und Implementierung eines echtzeitfähigen Model Management Systems - am Beispiel zur Überwachung von Lastprognosen für den Intraday Stromhandel

  • Tim Waizenegger and Thomas Lumpp:

    IBM Cloud Databases: Turning Open Source Databases Into Cloud Services

Accepted contributions in the student program:

  • Manh Khoi Duong:
    Automated Architecture-Modeling for Convolutional Neural Networks

  • Janis Held, Anna Beer and Thomas Seidl:
    Chain-detection for DBSCAN

  • Sebastian Schmidl, Frederic Schneider and Thorsten Papenbrock:
    An Actor Database System for Akka

  • Melissa Gehring:
    A Comparison of Distributed Stream Processing Systems for Time Series Analysis

  • Alexander Kern:
    Konzeption und Umsetzung einer DSL zur Informationsfusion auf verteilten heterogenen Graphen

  • Alexander Baumstark:
    Lock-free Data Structures for Data Stream Processing

  • Denis Hirn:
    PgCuckoo – Injecting Physical Plans into PostgreSQL

  • Sebastian Wilhelm and Armin Gerl:
    Policy-based Authentication and Authorization based on the Layered Privacy Language

  • Haralampos Gavriilidis:
    Computation Offloading in JVM-based Dataflow Engines