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Quantum computing has emerged as a promising tool for transforming the future paradigm of data management. Classical problems in …

The data needed for machine learning (ML) model training, can reside in different separate sites often termed data silos. For …

Although big data is being discussed for some years, it still has many research challenges, such as the variety of data. The diversity …

Data science workflows require extracting, preparing and integrating data from multiple data sources. Due to the lack of proper tooling …