- Annual reports
GRADOOP: Scalable Graph Data Management and Analytics with Hadoop
Processing highly connected data as graphs becomes more and more important in many different domains. Prominent examples are social networks, e.g. facebook and Twitter, as well as information networks like the World Wide Web or biological networks. One important similarity of these domain specific data is their inherent graph structure which makes them eligible for analytics using graph algorithms. Besides that, the datasets share two more similarities: they are huge in size, making it hard or even impossible to process them on a single machine and they grow over time, which classifies them as dynamic graphs. With the objective of analyzing these large-scale, dynamic datasets, we started developing a framework called “Gradoop” (Graph Analytics on Hadoop®) with the following three main objectives:
- developing a graph data model incl. operators for the definition of analytical pipelines
- data integration of heterogeneous source systems into an integrated graph and
- efficient data distribution / replication to optimize the execution of distributed graph operators.
Our prototype is build on top of the distributed dataflow framework Apache Flink™ and the NoSQL database Apache HBase™. The data model has been designed and the operators have been implemented. A first use case is the BIIIG project for graph analytics in business information networks. In our ongoing work, we will look into different methods of operator tuning depending on the underlying dataflow system.
- Kevin Gomez
- Niklas Teichmann
- Stephan Kemper
Competence Center for Scalable Data Services and Solutions (ScaDS)
- Scalable Graph Data Analytics with GRADOOP. BBDC Symposium, Berlin, Nov. 2016
- Graph Mining for Business Intelligence @data2day 2016
- Gradoop @Graph Database Meetup Munich July 2016
- Gradoop @Flink/Neo4j Meetup Berlin March 2016
- Gradoop @FOSDEM 2016 GraphDevroom
- Meetup Big Data & Graph Database User Group Dresden
- Gradoop @FlinkForward 2015 (YouTube Video)
- Gradoop & BIIIG @ScaDS Dresden July 2015 (Graph Sync Meeting)
- Gradoop & BIIIG @ScaDS Dresden June 2015 (Microsoft Meeting)
- Gradoop Overview @ScaDS Leipzig June 2015 (ScaDS Project Meeting)
- Scalabale Graph Analytics with GRADOOP. Keynote GvDB-Workshop, Gommern, May 2015
Apache®, Hadoop® Apache Flink™ and Apache HBase™ are either registered trademarks or trademarks of the Apache Software Foundation in the United States and/or other countries.