Prof Erhard Rahm: Big Data Integration Research

A very warm welcome back to our regular Meetups every first Tuesday of the month in Canberra. This month we have a special guest, Prof Erhard Rahm to speak to us about Big Data. The Big Data challenges, Variety and Veracity demand scalable solutions to achieve a high data quality and semantically correct integration of heterogeneous data. These topics play therefore an important role in the new German center of excellence on Big Data ScaDS Dresden/Leipzig. After an overview of the center he will discuss their previous and current work in the area, in particular on Hadoop-based matching of web data. He will also present a new privacy-preserving record linkage approach and its parallel implementation on graphic processors [i.e., analysing Graph Data]. Finally Prof Rahm will discuss ongoing work on managing and analysing large graph datasets.

BIO: Erhard Rahm is full professor for databases at the computer science institute of the University of Leipzig. His current research focusses on Big Data and data integration. He has authored several books and more than 200 peer-reviewed journal and conference publications. His research on data integration and schema matching has been awarded several times, in particular with the renowned 10-year best-paper award of the conference series VLDB (Very Large Databases) and the Influential Paper Award of the conference series ICDE (Int. conf. on Data Engineering). Prof. Rahm is one of the two scientific coordinators of the new German center of excellence on Big Data ScaDS (competence center for SCAlable Data services and Solutions) Dresden/Leipzig that started its operation in Oct. 2014.

Note: Please RSVP to ensure we have enough seats. As a side-note, this meeting will present principles and approaches that will be of interest to R users and Data Science community in general, but the topic is not strictly R-specific. This is a repeat of the 11am seminar at the ANU (http://cecs.anu.edu.au/seminars/more/SID/3618).