Data Management & Analytics

Research Group

Ilia Petrov

Prof. Dr.-Ing. Ilia Petrov

Research interests: data management and analysis, high-performance data processing, data management on new hardware technologies, big data, database systems.

Building 9 (Reutlingen)
Room 027
Phone +49 7121 271 4034
Fax +49 7121 271 90 4034
Send e-mail »

Christian Riegger

Christian Riegger

Building 9 (Reutlingen)
Room 016
Phone +49 7121 271 4068
Send e-mail »

Research

The research group and the data management laboratory are active in the field of data processing, data management and analysis. Our current research areas include:

  • Database technology
  • High-performance data processing and data management on modern hardware technologies
  • Big Data
  • Business Intelligence, Data Mining and Data Analytics

These topics are dealt with in research and industrial projects. Further information can be found at http://dblab.reutlingen-university.de.

Teaching

Data Management and Analytics
(Master Wirtschaftsinformatik und Master Services Computing)
Database architecture, architecture and algorithms: memory management, buffer management, query processing, transaction management and index structures, data organization, models, query optimization and execution, index support, statistics and histograms, special operators

Database Administration
(Master Wirtschaftsinformatik, optional course)
Essentials of database administration, physical database design, tables, indices, logging, undo / redo, database recovery

Non-standard Database/High-Performance Systems
(Master Wirtschaftsinformatik, optional course)
Main Memory DBMS, Key-Value Stores, Column Stores, BigData processing

Relational Database Systems
(Bachelor Wirtschaftsinformatik)
ER modeling, relational data model, relational algebra, SQL, transaction processing

Further information can be found at http://dblab.reutlingen-university.de/teaching.html

 

 

Projects

  • Performance analysis of search algorithms for database indices
  • Analysis of data processing techniques: Big Data vs. high-performance DB
  • Selected aspects of data processing on modern hardware

Cooperation partners in research

  • Technical University of Darmstadt

Cooperation partners in practice

  • HP Labs, Palo Alto, USA
  • HP Labs Böblingen, Germany
  • IBM Böblingen, Germany

Program and organization committee, expert opinions

  • Reviewer for the following journals: Transactions on Database Systems (TODS); Systems and Software (Elsevier); Journal of Database Management (JDM)
  • Member of the program of more than 30 meetings and workshops: SIGMOD 2014; EDBT 2014; WETICE 2015,2014,2013,2012; DATA 2015, 2014; INNOV 2015,2014; CIKM PhD Workshop 2013; HardBD 2012, Ph.D Workshop Middleware 2010; WI 2011; ODBASE 2010; FlexDBIST-2010, 2009; IiWAS 2014, 2013,2011, 2010, 2009, 2008, 2007; ICADIWT 2010, 2009; AINA 2009; SEIW 2008, 2007; EC-Web 2008, 2007; QSWS 2008; MDEIS 2006
  • Further information can be found at dblab.reutlingen-university.de/ilia.html