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TU Berlin

Inhalt des Dokuments

Welcome to the Big Data Management Group at the TU Berlin!

Key attributes of Big Data can be described by the three (or several) "V's": Big Volume, Big Velocity, and Big Variety. In this group, we mainly focus on the last "V", the Big variety of data: 

To use and combine data from E-commerce, sensors, and social media services, integration and curation routines have to be employed. The heterogeneity of data impedes the seamless integration of different sources, requiring human intervention in form of exhaustive profiling and data preparation efforts. Hence, research on Big Data calls for scalable data profiling and integration systems that enable curation and consumption of large and many and diverse data sources.

Along with profiling and integration of large datasets, the deployment of sophisticated analytics on data (big analytics) is strongly related to the above mentioned problem. We are interested in systems that leverage mining and machine learning techniques to derive knowledge from dirty and poorly organized data. This includes developing sketching and summarizing techniques that reduce a big dataset to its relevant core information.

News

Digital Science Match Paticipation

15. May 2017

Prof. Abedjan joined the science match with a presentation on data integration research. more to: Digital Science Match Paticipation

Invited Talk at HPI Symposium on Future Trends in SOC

27. April 2017

Prof. Abedjan was invited to present his talk "Data Curation in the Wild: Limits and Challenges" at the annual HPI Symposium on Future Trends in Service-oriented Computing. more to: Invited Talk at HPI Symposium on Future Trends in SOC

Demo Paper accepted at SIGMOD 2017

27. February 2017

The Data Civilizer Demo in collaboration with MIT, QCRI, and University of Waterloo was accepted at SIGMOD 2017. more to: Demo Paper accepted at SIGMOD 2017

Tutorial accepted at SIGMOD 2017

21. February 2017

Our Tutorial on Data Profiling has been accepted for a 90 minute presentation at SIGMOD 2017. more to: Tutorial accepted at SIGMOD 2017

Onwrks receives Exist Funding

06. December 2016

We congratulate the founders of Onwrks, Anatoli Kantarovich, Nimrod Knoller und Michael Steimel for receiving the Exist starting grant. Onwrks is a Berlin-based software startup, specializing in digital tools for wind turbine data management. It is scientifically mentored by Prof. Ziawasch Abedjan more to: Onwrks receives Exist Funding

Amazon Tech Talk

15. November 2016

Prof. Abedjan was invited for a talk at Amazon Labs, Berlin. more to: Amazon Tech Talk

Filter Workshop Berlin

26. September 2016

Prof. Abedjan participated in the interdisciplinary "Filter" workshop. In his presentation with the title "NoFilter: Filtering, Transforming, and Cleaning Data", he described the role of filters in the data integration process. more to: Filter Workshop Berlin

Paper accepted for CIDR 2017.

12. October 2016

Our paper "The Data Civilizer System" was accepted for CIDR 2017. more to: Paper accepted for CIDR 2017.

Invited Talk at the AT&T Research Seminar in NYC

11. October 2016

Prof. Abedjan gave a talk at the AT&T Research Seminar in NYC. more to: Invited Talk at the AT&T Research Seminar in NYC

Abstract accepted for LWDA 2016.

18. July 2016

Our abstract on the "DataXFormer" project has been accepted for presentation at the Autumn meeting of the GI special group on databases that takes place during the LWDA 2016. more to: Abstract accepted for LWDA 2016.

Paper accepted for VLDB 2016!

14. July 2016

Our paper "Detecting Data Errors: Where are we and what needs to be done?" has been accepted for the Proceedings of the VLDB Endowment and will be presented at VLDB 2016. more to: Paper accepted for VLDB 2016!

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Contact

Prof. Dr. Ziawasch Abedjan
Big Data Management
Faculty of EECS (IV)
Building EN 7
Room EN 704
Einsteinufer 17
10587 Berlin
+49 30 314 28007
+49 30 31421601

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