Generic Negative Scenarios for the Specification of Collaborative Cyber-Physical Systems
Collaborative cyber-physical systems face a plethora of different albeit often similar set-ups they might find themselves in during runtime....
Relaxed Functional Dependency Discovery in Heterogeneous Data Lakes
Functional dependencies are important for the definition of constraints and relationships that have to be satisfied by every database...
HIKE: A Step Beyond Data Exchange
The problem of exchanging data, even considering incomplete and heterogeneous data, has been deeply investigated in the last years....
An Ontological Perspective for Database Tuning Heuristics
Database tuning is a complex task, involving technology-specific concepts. Although they seem to share a common meaning, there are...
Unified Management of Multi-model Data
The variety of data is one of the most challenging issues for research and practice in data management. The...
Capturing Multi-level Models in a Two-Level Formal Modeling Technique
Conceptual models are often built with techniques that propose a strict stratification of entities into two classification levels: a...
An SQL o Front-End for Non-monotonic Inheritance and De-referencing
We revisit the issues of non-monotonic inheritance and structure traversal in object-relational databases with new insights to propose OO...
Modeling Data Lakes with Data Vault: Practical Experiences, Assessment, and Lessons Learned
Data lakes have become popular to enable organization-wide analytics on heterogeneous data from multiple sources. Data lakes store data...
Requirements-Driven Visualizations for Big Data Analytics: A Model-Driven Approach
Choosing the right Visualization techniques is critical in Big Data Analytics. However, decision makers are not experts on visualization...
Don’t Tune Twice: Reusing Tuning Setups for SQL-on-Hadoop Queries
SQL-on-Hadoop processing engines have become state-of-the-art in data lake analysis. However, the skills required to tune such systems are...
