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Advances in Data Management in the Big Data Era

Publication at Faculty of Mathematics and Physics |
2021

Abstract

Highly-heterogeneous and fast-arriving large amounts of data, otherwise said Big Data, induced the development of novel Data Management technologies. In this paper, the members of the IFIP Working Group 2.6 share their expertise in some of these technologies, focusing on: recent advancements in data integration, metadata management, data quality, graph management, as well as data stream and fog computing are discussed.