Load Balancing for MapReduce-based Entity Resolution Lars Kolb, Andreas Thor, Erhard Rahm Database Group, University of Leipzig Leipzig, Germany {kolb,thor,rahm}@informatik.uni-leipzig.de

Source URL: dbs.uni-leipzig.de

• Computing
• Parallel computing
• MapReduce
• Data-intensive computing
• Data
• Record linkage
• Partition
• Replication
• Hash function

When to Reach for the Cloud: Using Parallel Hardware for Link Discovery Axel-Cyrille Ngonga Ngomo, Lars Kolb, Norman Heino, Michael Hartung, S¨oren Auer, and Erhard Rahm Department of Computer Science, University of Lei

Source URL: dbs.uni-leipzig.de

• Concurrent computing
• Computing
• Parallel computing
• GPGPU
• MapReduce
• Data-intensive computing
• Graphics processing unit
• OpenCL
• Hypercube
• Thread
• Compute kernel
• Apache Hadoop

Analyzing Extended Property Graphs with Apache Flink Martin Junghanns, André Petermann, Niklas Teichmann, Kevin Gómez, Erhard Rahm University of Leipzig & ScaDS Dresden/Leipzig [junghanns,petermann,rahm]@informatik.uni

Source URL: dbs.uni-leipzig.de

• Graph theory
• Mathematics
• Graph
• Matching
• Vertex
• Line graph
• Planar graph

The Case for Holistic Data Integration Erhard Rahm University of Leipzig, Germany Abstract. Current data integration approaches are mostly limited to few data sources, partly due to the use of binary match approaches bet

Source URL: dbs.uni-leipzig.de

• Computing
• Information technology
• Data management
• Information
• Technical communication
• Business intelligence
• Knowledge representation
• Ontology
• Schema matching
• Data integration
• Semantic heterogeneity
• Data model

Web-basiertes SQL-Training im Bildungsportal Sachsen* Dieter Sosna, Erhard Rahm Universität Leipzig, Institut für Informatik http://dbs.uni-leipzig.de Kurzfassung:

Source URL: dbs.uni-leipzig.de

DE GRUYTER OLDENBOURG it – Information Technology 2016; Galley Proof Editorial Erhard Rahm*

Source URL: dbs.uni-leipzig.de

• Apache Software Foundation
• Hadoop
• Data management
• Business intelligence
• Big data
• Apache Hadoop
• Apache Spark
• Apache Flink
• Erhard Rahm
• Analytics
• Pig
• Extract
• transform
• load

Data Cleaning: Problems and Current Approaches Erhard Rahm∗ Hong Hai Do University of Leipzig, Germany

Source URL: wwwiti.cs.uni-magdeburg.de

Benchmarking XML Database Systems – First Experiences Timo Böhme Erhard Rahm University of Leipzig, Germany http://dbs.uni-leipzig.de

Source URL: hpts.ws

• Query languages
• Markup languages
• Data management
• Technical communication
• XML database
• XQuery
• Database management system
• Benchmark
• EXist
• Computing
• Web standards
• XML

When to Reach for the Cloud: Using Parallel Hardware for Link Discovery Axel-Cyrille Ngonga Ngomo, Lars Kolb, Norman Heino, Michael Hartung, S¨oren Auer, and Erhard Rahm Department of Computer Science, University of Lei

Source URL: eswc-conferences.org

• GPGPU
• Classes of computers
• Graphics hardware
• MapReduce
• Data Intensive Computing
• Graphics processing unit
• OpenCL
• Hypercube
• Apache Hadoop
• Computing
• Concurrent computing
• Parallel computing

Hybride Integration von molekularbiologischen Annotationsdaten Christine Körner†, Toralf Kirsten†, Hong-Hai Do†, Erhard Rahm†‡ †Interdisziplinäres Zentrum für Bioinformatik, Universität Leipzig http://www

Source URL: subs.emis.de