About

• 2014 M.Sc. Computer Science (Thesis)
• GitHub, LinkedIn, Twitter

Contact

• +49 341 97 32-370
• junghanns [at] informatik.uni-leipzig.de
• Augustusplatz 10, Paulinum, Room P414, 04109 Leipzig

Research

Graph-based data analysis (GRADOOP, BIIIG)

Interests

• Graph Database Systems (Neo4j, etc.)
• Distributed Computation Frameworks (Flink, Spark, etc.)
• Distributed Graph Processing (Giraph, etc.)
• Distributed Storage Systems (HBase, Cassandra, etc.)
• Graph Partitioning
• Algorithms & Datastructures

Awards

• Best Demo Award, BTW 2017

Selected Talks

• Cypher-based Graph Pattern Matching in Gradoop @GRADES Workshop (SIGMOD 2017)
• Cypher on Gradoop @FOSDEM 2017 GraphDevroom
• Graph Mining for Business Intelligence @data2day 2016
• Gradoop @FlinkForward 2015 (YouTube)
• Meetup Big Data & Graph Database User Group Dresden
• Gradoop @FOSDEM 2016 GraphDevroom
• Gradoop @Flink/Neo4j Meetup Berlin 03/2016
• Gradoop @Graph Database Meetup Munich 07/2016

Blog Posts

• LDBC and Apache Flink

Teaching

Lectures

• NoSQL Databases (Graph Data Management) (SS 2014, WS 2015)

Tutorials, Seminars & Labs

• Tutorial: Database systems 1 (WS 2014, WS 2015)
• Tutorial: Database systems 2 (SS 2014, SS 2015, SS 2016)
• Seminar: Graph Data Management (WS 2014)
• Lab: Datawarehouse (WS 2014)
• Lab: Big Data (WS 2015, SS 2016)

Supervision of Thesis

• MA: Max Kiessling “Towards Cypher on Apache Flink -Implementing a Graph Query Languageon a Data Flow System”, 2017
• MA: Yves Bugge “Performanzanalyse von Alluxio unter Verwendung Java basierter Cluster Computing Frameworks”, 2017
• DA: Christin Baumberg “Evaluierung und Benchmark von verteilten Graph Processing Systemen”, 2016
• BA: Kevin Gomez “Adaptive Graphpartitionierung mit Apache Flink und Apache Giraph”, 2016

Publications

Rost, C; Gomez, K; Taeschner, M; Fritzsche, P; Schons, L; Christ, L; Adameit, T; Junghanns, M; Rahm, E Distributed temporal graph analytics with GRADOOP VLDB Journal 2021 Special Issue Paper 2021-05

Junghanns, Martin; Kießling, Max; Teichmann, Niklas; Gomez, Kevin; Petermann, Andre; Rahm, Erhard Declarative and distributed graph analytics with GRADOOP PVLDB 2018-08

Green, Alastair; Junghanns, Martin; Kießling, Max; Lindaaker, Tobias; Plantikow, Stefan; Selmer, Petra openCypher: New Directions in Property Graph Querying Proc. EDBT (tutorial paper) 2018-03

Petermann, A.; Junghanns, M.; Rahm, E.; DIMSpan - Transactional Frequent Subgraph Mining with Distributed In-Memory Dataflow Systems Proc. Int. Conf. on Big Data Computing, Applications and Technologies (BDCAT) 2017, pp 237-246 2017-12

Junghanns, M.; Kießling, M.; Averbuch, A.,; Petermann, A.; Rahm, E. Cypher-based Graph Pattern Matching in Gradoop Proc. ACM SIGMOD workshop on Graph Data Management Experiences and Systems (GRADES) 2017-05

Junghanns, M.; Petermann, A.; Rahm, E.; Distributed Grouping of Property Graphs with GRADOOP Proc. Datenbanksysteme für Business, Technologie und Web (BTW) 2017 2017-03

Junghanns, M.; Petermann, A.; Teichmann, N.; Rahm, E.; The Big Picture: Understanding large-scale graphs using Graph Grouping with GRADOOP Proc. Datenbanksysteme für Business, Technologie und Web (BTW) 2017 (Demo paper) 2017-03

Kemper, S.; Petermann, A.; Junghanns, M. Distributed FoodBroker: Skalierbare Generierung graphbasierter Geschäftsprozessdaten. Proc. Datenbanksysteme für Business, Technologie und Web (BTW) 2017 (Workshops) 2017-03

Junghanns, Martin; Petermann, Andre; Neumann, Martin; Rahm, Erhard Management and Analysis of Big Graph Data: Current Systems and Open Challenges In: Handbook of Big Data Technologies (eds.: A. Zomaya, S. Sakr) , Springer 2017, to appear 2017-02

Petermann, A.; Junghanns, M.; Kemper, S.; Gomez, K.; Teichmann, N.; Rahm, E.; Graph Mining for Complex Data Analytics Proc. ICDM 2016 (Demo paper) 2016-12

Junghanns, M.; Petermann, A. Verteilte Graphanalyse mit Gradoop JavaSPEKTRUM 05/2016 2016-10

Petermann, A.; Junghanns, M. Scalable Business Intelligence with Graph Collections it - Information Technology, Special Issue: Big Data Analytics, Vol. 58 (4), 2016, pp. 166–175 2016-08

Junghanns, M.; Petermann, A.; Teichmann, N.; Gomez, K.; Rahm, E. Analyzing Extended Property Graphs with Apache Flink Proc. Int. SIGMOD workshop on Network Data Analytics (NDA) 2016-07

Junghanns, M.; Petermann, A.; Gomez, K.; Rahm, E. GRADOOP: Scalable Graph Data Management and Analytics with Hadoop Techn. Report, Univ. of Leipzig, arXiv:1506.00548, June 2015 2015-06

Petermann, A.; Junghanns, M.; Müller, R.; Rahm, E. Graph-based Data Integration and Business Intelligence with BIIIG Proc. VLDB Conf., 2014 (Demo paper) 2014-09

Petermann, A.; Junghanns, M.; Müller, R.; Rahm, E. FoodBroker - Generating Synthetic Datasets for Graph-Based Business Analytics 5th Workshop on Big Data Benchmarking (WBDB 2014), LNCS 8991, 2015 2014-08

Petermann, A.; Junghanns, M.; Müller, R.; Rahm, E. BIIIG : Enabling Business Intelligence with Integrated Instance Graphs 5th International Workshop on Graph Data Management (GDM 2014) 2014-03