76 citations
- Technische Universität DarmstadtDE3 papers
- Cornell UniversityUS2 papers
- Heidelberg UniversityDE2 papers
- Institut national de recherche en sciences et technologies du numériqueFR2 papers
- Karlsruhe Institute of TechnologyDE2 papers
- Nanyang Technological UniversitySG2 papers
- Systems, Applications & Products in Data Processing (Switzerland)CH2 papers
- University of TrentoIT2 papers
- University of WaterlooCA2 papers
- Allen Institute for Artificial IntelligenceUS1 paper
- Booz Allen Hamilton (United States)US1 paper
- British LibraryGB1 paper
6 papers · 1 filter
Unveiling Challenges for LLMs in Enterprise Data Engineering
Jan-Micha Bodensohn, Ulf Brackmann, Liane Vogel +2
Large Language Models (LLMs) promise to automate data engineering on tabular data, offering enterprises a valuable opportunity to cut the high costs of manual data handling. But th…
Scheduling of Graph Queries: Controlling Intra- and Inter-query Parallelism for a High System Throughput
Matthias Hauck, Ismail Oukid, Holger Fröning
The vast amounts of data used in social, business or traffic networks, biology and other natural sciences are often managed in graph-based data sets, consisting of a few thousand u…
AnyDB: An Architecture-less DBMS for Any Workload
Tiemo Bang, Norman May, Ilia Petrov +1
In this paper, we propose a radical new approach for scale-out distributed DBMSs. Instead of hard-baking an architectural model, such as a shared-nothing architecture, into the dis…
A Rule-based Language for Application Integration
Daniel Ritter, Jan Broß
Although message-based (business) application integration is based on orchestrated message flows, current modeling languages exclusively cover (parts of) the control flow, while un…
A Logic Programming Approach to Integration Network Inference
Daniel Ritter
The discovery, representation and reconstruction of (technical) integration networks from Network Mining (NM) raw data is a difficult problem for enterprises. This is due to large…
Improving Schema Matching with Linked Data
Ahmad Assaf, Eldad Louw, Aline Senart +3
With today's public data sets containing billions of data items, more and more companies are looking to integrate external data with their traditional enterprise data to improve bu…