Date(s) - 30/03/2016
1:00 am - 2:00 am
Graph-structured data is ubiquitous and graph processing has recently seen a growth in popularity not just in social networking but also in business applications. The latter usually have to handle large amounts of data that are stored in relational database management systems. OLAP is the cornerstone of business intelligence and multidimensional analytics has been crucial to decision support in companies, covering an application range from traditional end-of-quarter reporting to interactive and exploratory computing. Therefore, the challenge we try to address by providing graph analytics facilities is to extend these techniques in order to make sense of large graphs in the context of business intelligence ecosystems.
Speaker: Michael Rudolf
In 2010 Michael Rudolf attained a master’s degree in Computational Engineering at Technische Universität Dresden, with the focus on software engineering and databases. After a short tête-à-tête with the industry, where he worked as software architect, Michael decided to continue his research ambitions and started to pursue a PhD with Europe’s largest software company as the industrial partner. In the headquarters of SAP in Walldorf near Heidelberg he has been working in the core development department for the relational in-memory database SAP HANA and investigated the integration of graph processing into the database core.