DataPlat 2022, the 1st International Workshop on Data Platform Design, Management, and Optimization

29/03/2022 all-day

Date : 2022-03-29
Lieu : Edinburgh

Call For Papers for DataPlat 2022, the 1st International Workshop on Data Platform Design, Management, and Optimization, which will be held on March 29, 2022 at Edinburgh, co-located with EDBT/ICDT.

DataPlat focuses on the challenges originating from the paradigm change imposed by big data, which has triggered the evolution of information systems into complex data platforms or data ecosystems supporting data-intensive storage, computation, and analysis of data with heterogeneous structures. Over the last years, several research proposals have been made concerning vertical solutions that address different parts of the data management lifecycle within complex data-intensive ecosystems. DataPlat is aimed at funneling these efforts towards the development of data platforms as data-intensive ecosystems supporting data scientists and architects at a high level, and fosters innovative research solutions that contribute to further advancements in this field. DataPlat covers the topics of metadata modeling, collection, and storage to capture the distinguishing features of the data; the enabling of advanced functionalities spanning from research and data profiling to provenance control, orchestration of data transformation pipelines, incremental data integration, and efficient querying; data integration and querying within heterogeneous storage and computation engines, including multi-model DBMSs, polystores and cloud storage systems; the simplification of data management and fruition by data scientists, including artificial intelligence solutions and AutoML techniques.

The deadline for paper submission is December 12, 2021.

Authors of the best papers will be invited to submit an extended version to a Special Issue with Elsevier’s Future Generation Computer Systems (FGCS) journal (IF: 7.187).

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