124 citations · 134 across the 16 of their papers we have counts for
4 papers · 1 filter
Quantum Data Management: From Theory to Opportunities
Rihan Hai, Shih-Han Hung, Sebastian Feld
Quantum computing has emerged as a transformative tool for future data management. Classical problems in database domains, including query optimization, data integration, and trans…
SiMa: Effective and Efficient Matching Across Data Silos Using Graph Neural Networks
Christos Koutras, Rihan Hai, Kyriakos Psarakis +2
How can we leverage existing column relationships within silos, to predict similar ones across silos? Can we do this efficiently and effectively? Existing matching approaches do no…
Amalur: Data Integration Meets Machine Learning
Rihan Hai, Christos Koutras, Andra Ionescu +5
The data needed for machine learning (ML) model training, can reside in different separate sites often termed data silos. For data-intensive ML applications, data silos pose a majo…
Data Lakes: A Survey of Functions and Systems
Rihan Hai, Christos Koutras, Christoph Quix +1
Data lakes are becoming increasingly prevalent for big data management and data analytics. In contrast to traditional 'schema-on-write' approaches such as data warehouses, data lak…