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Big Data Analytics in the Banking Sector: Guidelines and Lessons Learned from the CaixaBank Case., , , , , , , , , and 20 other author(s). Technologies and Applications for Big Data Value, Springer, (2022)Towards Specification of a Software Architecture for Cross-Sectoral Big Data Applications., , , , , , , , , and 18 other author(s). SERVICES, page 394-395. IEEE, (2019)BIGNASim: a NoSQL database structure and analysis portal for nucleic acids simulation data., , , , , , , , , and 1 other author(s). Nucleic Acids Res., 44 (Database-Issue): 272-278 (2016)A framework for multidimensional indexes on distributed and highly-available data stores.. Polytechnic University of Catalonia, Spain, (2019)ParaView + Alya + D8tree: Integrating High Performance Computing and High Performance Data Analytics., , , , , , , , and . ICCS, volume 108 of Procedia Computer Science, page 465-474. Elsevier, (2017)Exploiting Key-Value Data Stores Scalability for HPC., , , and . ICPP Workshops, page 85-94. IEEE Computer Society, (2017)Big Data Analytics in the Manufacturing Sector: Guidelines and Lessons Learned Through the Centro Ricerche FIAT (CRF) Case., , , , , , , , , and 21 other author(s). Technologies and Applications for Big Data Value, Springer, (2022)Aeneas: A Tool to Enable Applications to Effectively Use Non-Relational Databases., , , , and . ICCS, volume 18 of Procedia Computer Science, page 2561-2564. Elsevier, (2013)The OTree: Multidimensional Indexing with efficient data Sampling for HPC., , , , , , , , and . IEEE BigData, page 433-440. IEEE, (2019)D8-tree: a de-normalized approach for multidimensional data analysis on key-value databases., , , and . ICDCN, page 18:1-18:10. ACM, (2016)