Martin Junghanns

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I am a PhD student and lecturer at the University of Leipzig. My area of research is distributed data management and processing with a focus on graph data. I am working on an end-to-end graph analytics platform to support data scientists in the analysis of heterogeneous and large graph data. Therefor, I'm looking into techniques on graph data integration, distributed graph data management, declarative graph analytics and meaningful result representation. Besides that, I am interested in optimization techniques, for example efficient graph partitioning and replication. I mostly work with the Apache Hadoop ecosystem, namely HDFS, HBase, MapReduce, Giraph, Flink and Spark. Besides that, I a...

apache flink graph analytics gradoop graph analytics apache flink gradoop cypher neo4j morpheus apache spark graph mining data mining business intelligence meetup big data benchmark sones nosql graphdb couchdb

Aktivität
Info

Martin Junghanns

Präsentationen

NoSQL - Neue Ansätze zur Verwaltung unstrukturierter Daten

Gradoop: Scalable Graph Analytics with Apache Flink @ Flink Forward 2015

Meetup Big Data User Group Dresden: Gradoop - Scalable Graph Analytics with Apache Flink

Gradoop: Scalable Graph Analytics with Apache Flink @ FOSDEM 2016

Gradoop: Scalable Graph Analytics with Apache Flink @ Flink & Neo4j Meetup Berlin

Distributed Graph Analytics with Gradoop

Gut vernetzt: Skalierbares Graph Mining für Business Intelligence

Morpheus SQL and Cypher® in Apache® Spark - Big Data Meetup Munich

Gefällt mir

Apache-Flink-What-How-Why-Who-Where-by-Slim-Baltagi

HBaseCon 2015: S2Graph - A Large-scale Graph Database with HBase

Flink use cases @ bay area meetup (october 2015)

Flink September 2015 Community Update

Large-Scale Stream Processing in the Hadoop Ecosystem

Apache Flink Hands On

Overview of Apache Flink: Next-Gen Big Data Analytics Framework

Apache Flink internals

NoSQL Databases: Why, what and when

New Neo4j Auto HA Cluster