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Ophidia: Toward Big Data Analytics for eScience.

, , , , , and . ICCS, volume 18 of Procedia Computer Science, page 2376-2385. Elsevier, (2013)

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A workflow-enabled big data analytics software stack for escience., , , , , , and . HPCS, page 545-552. IEEE, (2015)Towards High Performance Data Analytics for Climate Change., , , , , , and . ISC Workshops, volume 11887 of Lecture Notes in Computer Science, page 240-257. Springer, (2019)Ophidia: Toward Big Data Analytics for eScience., , , , , and . ICCS, volume 18 of Procedia Computer Science, page 2376-2385. Elsevier, (2013)Big Data Analytics on Large-Scale Scientific Datasets in the INDIGO-DataCloud Project., , , , , , , , , and 2 other author(s). Conf. Computing Frontiers, page 343-348. ACM, (2017)A big data analytics framework for scientific data management., , , , , and . IEEE BigData, page 1-8. IEEE Computer Society, (2013)Towards an Open (Data) Science Analytics-Hub for Reproducible Multi-Model Climate Analysis at Scale., , , , , , , and . IEEE BigData, page 3226-3234. IEEE, (2018)End-to-End Workflows for Climate Science: Integrating HPC Simulations, Big Data Processing, and Machine Learning., , , , , , , , , and . SC Workshops, page 2042-2052. ACM, (2023)On the Use of In-Memory Analytics Workflows to Compute eScience Indicators from Large Climate Datasets., , , , , , , and . CCGrid, page 1035-1043. IEEE Computer Society / ACM, (2017)An in-memory based framework for scientific data analytics., , , , , , and . Conf. Computing Frontiers, page 424-429. ACM, (2016)Ophidia: A full software stack for scientific data analytics., , , , , , and . HPCS, page 343-350. IEEE, (2014)