The BMBF-funded BIGGR project is working on the development of a user-friendly tool for efficient workflow-based analysis of very large networks and graphs (Big Graph Data) for data analysts.
Project description
Project approach
The analysis of very large network-like structured data or graphs has become increasingly important in recent years. Analyses are usually characterised by a concatenation of data import, integration, transformation and analysis steps on graphs up to visualisation with the aim of identifying possible influences and relationships in data.
Unfortunately, classical data warehouse solutions and available graph databases are too inflexible or (1) do not provide support for analysis workflows and algorithms, (2) do not scale in processing and visualisation for very large graphs and (3) are difficult to use due to complex technical interfaces.
Project goals
The goal of the project is to develop a novel tool for user-friendly and efficient analysis and visualisation of Big Graph Data, which can be used by data analysts without deep technical knowledge. Graph analysis workflows are to be defined graphically via drag and drop and executed on scalable Big Data systems.
Implementation
The two project partners combine their extensive expertise and preliminary work in the field of intuitive definition of analysis workflows (KNIME.com GmbH) and the areas of efficient execution of graph analysis pipelines on Big Data systems (University of Leipzig, Department of Databases) as well as software integration and data management (University of Leipzig, University Computing Centre), thus forming the basis for a successful implementation of the project goals.
