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ORCIDJohannes Schildgen
Person information
- affiliation: OTH Regensburg, Germany
- affiliation (PhD 2017): Kaiserslautern University of Technology, Germany
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2020 – today
- 2025
[c17]Florian Heinz, Johannes Schildgen:
SQLinked - A Hybrid Approach for Local and Database-Remote Program Execution. BTW Workshops 2025: 257-263- [c16]Johannes Schildgen, Florian Heinz:
A Showcase of LLMs in Action: SQL Generation from Natural Language (Demo Paper). BTW 2025: 819-825 - 2023
- [c15]Johannes Schildgen, Florian Heinz
:
Interactive SQL Queries and Program Code in Presentations. BTW 2023: 687-693 - [c14]Johannes Schildgen, Florian Heinz, Andreas Olijnyk, Arvid Lindenau:
Using SQL/MED to Query Heterogeneous Data Sources with Alexa Voice Commands. BTW 2023: 821-828 - [c13]Florian Heinz, Johannes Schildgen:
A Data Model and Operations for Higher-Dimensional Moving Objects in Databases. EMODE@SIGSPATIAL 2023: 30-39 - [c12]Christoph Großmann, Johannes Schildgen:
Integrating Machine Learning into SQL with Exasol. LWDA 2023: 73-85 - 2022
- [j6]Lucas Woltmann, Peter Benjamin Volk, Michael Dinzinger, Lukas Gräf, Sebastian Strasser, Johannes Schildgen, Claudio Hartmann, Wolfgang Lehner:
Data Science Meets High-Tech Manufacturing - The BTW 2021 Data Science Challenge. Datenbank-Spektrum 22(1): 5-10 (2022) - [c11]Johannes Schildgen, Jessica Rosin:
Game-based Learning of SQL Injections. DataEd@SIGMOD 2022: 22-25 - [c10]Fabian Panse, Meike Klettke, Johannes Schildgen, Wolfram Wingerath:
Similarity-driven Schema Transformation for Test Data Generation. EDBT 2022: 2:408-2:413 - 2021
- [j5]Johannes Schildgen:
Interaktive Vorlesungsfolien mit SQL-Unterstützung. Datenbank-Spektrum 21(1): 19-27 (2021) - [j4]Alexander Schoenenwald, Simon Kern, Josef Viehhauser, Johannes Schildgen:
Collecting and visualizing data lineage of Spark jobs. Datenbank-Spektrum 21(3): 179-189 (2021) - 2020
- [c9]Johannes Schildgen:
MonstER Park - The Entity-Relationship-Diagram Learning Game. ER Forum/Posters/Demos 2020: 150-157
2010 – 2019
- 2017
- [b1]Johannes Schildgen:
Datentransformationen in NoSQL-Datenbanken. Kaiserslautern University of Technology, Germany, 2017 - [c8]Johannes Schildgen, Yannick Krück, Stefan Deßloch:
Transformations on Graph Databases for Polyglot Persistence with NotaQL. BTW 2017: 83-102 - [c7]Florian Haubold, Johannes Schildgen, Stefanie Scherzinger, Stefan Deßloch:
ControVol Flex: Flexible Schema Evolution for NoSQL Application Development. BTW 2017: 601-604 - 2016
- [j3]Johannes Schildgen, Stefan Deßloch:
Heterogenität überwinden mit der Datentransformationssprache NotaQL. Datenbank-Spektrum 16(1): 5-15 (2016) - [c6]Johannes Schildgen, Thomas Lottermann, Stefan Deßloch:
Cross-system NoSQL data transformations with NotaQL. BeyondMR@SIGMOD 2016: 5 - 2015
- [c5]Johannes Schildgen, Stefan Deßloch:
NotaQL Is Not a Query Language! It's for Data Transformation on Wide-Column Stores. BICOD 2015: 139-151 - [c4]Marc Schäfer, Johannes Schildgen, Stefan Deßloch:
Sampling with incremental mapreduce. BTW Workshops 2015: 121-130 - [c3]Johannes Schildgen, Stefan Deßloch:
SQL-Grundlagen spielend lernen mit dem Text-Adventure SQL Island. BTW 2015: 687-690 - [c2]Stefan Braun, Johannes Schildgen, Stefan Deßloch:
Visualisierung von NoSQL-Transformationen unter der Verwendung von Sampling-Techniken. LWA 2015: 427-438 - 2014
- [c1]Johannes Schildgen, Thomas Jörg, Manuel Hoffmann, Stefan Dessloch:
Marimba: A Framework for Making MapReduce Jobs Incremental. BigData Congress 2014: 128-135 - 2013
- [j2]Johannes Schildgen, Thomas Jörg, Stefan Deßloch:
Inkrementelle Neuberechnungen in MapReduce. Datenbank-Spektrum 13(1): 33-43 (2013) - [j1]Johannes Schildgen, Stefan Deßloch:
"Gib mir so viel Gold, wie die Metzger im Nachbardorf zusammen besitzen und ich lasse den Piloten frei!" - Spielbasiertes Lernen von SQL-Grundlagen. Datenbank-Spektrum 13(3): 243-249 (2013)
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last updated on 2025-07-13 19:37 CEST by the dblp team
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