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David Justen

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Technische Universität Berlin
Big Data Engineering

Ernst-Reuter-Platz 7, 10587 Berlin
https://www.tu.berlin/en/dams

© BIFOLD

David Justen

Doctoral Researcher

David Justen is a PhD candidate at the BIFOLD Graduate School at Technische Universität Berlin, supervised by Prof. Matthias Boehm. Prior to this, he was a PhD student at Prof. Hasso Plattner’s Enterprise Platform and Integration Concepts (EPIC) chair at the Hasso Plattner Institute in Potsdam, where SAP funded his research.

  • Query Optimization
  • Adaptive Query Processing
  • Cloud-based Data Processing

David Justen, Daniel Ritter, Campbell Fraser, Andrew Lamb, Nga Tran, Allison Lee, Thomas Bodner, Mhd Yamen Haddad, Steffen Zeuch, Volker Markl, Matthias Böhm

POLAR: Adaptive and Non-invasive Join Order Selection via Plans of Least Resistance

August 25, 2024
https://www.vldb.org/pvldb/vol17/p1350-justen.pdf

News
BIFOLD Update| Apr 22, 2024

“POLAR” lowers the adoption barrier for adaptive query processing in database systems

A preprint by BIFOLD researchers titled "POLAR: Adaptive and Non-invasive Join Order Selection via Plans of Least Resistance" is set to be presented at the VLDB conference in 2024. The database engineering paper introduces a technique for reordering joins that is adaptive, with a focus on non-invasive integration and low overhead.