20 citations · 23 across the 2 of their papers we have counts for
3 papers
cs.DB2019★ 3 cited
Learning a Partitioning Advisor with Deep Reinforcement Learning
Benjamin Hilprecht, Carsten Binnig, Uwe Roehm
Commercial data analytics products such as Microsoft Azure SQL Data Warehouse or Amazon Redshift provide ready-to-use scale-out database solutions for OLAP-style workloads in the c…
cs.DC2018
Technical Report: On the Usability of Hadoop MapReduce, Apache Spark & Apache Flink for Data Science
Bilal Akil, Ying Zhou, Uwe Röhm
Distributed data processing platforms for cloud computing are important tools for large-scale data analytics. Apache Hadoop MapReduce has become the de facto standard in this space…
cs.DB2009★ 20 cited
Data Management for High-Throughput Genomics
Uwe Roehm, Jose Blakeley
Today's sequencing technology allows sequencing an individual genome within a few weeks for a fraction of the costs of the original Human Genome project. Genomics labs are faced wi…