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Big Data Technologies to Improve Medical Data Warehousing., , , and . BDCA, page 21:1-21:5. ACM, (2017)Containerization technologies: taxonomies, applications and challenges., , , and . J. Supercomput., 78 (1): 1144-1181 (2022)Medium-Term Electricity Consumption Forecasting in Algeria Based on Clustering, Deep Learning and Bayesian Optimization Methods., , , and . SOCO, volume 1401 of Advances in Intelligent Systems and Computing, page 739-748. Springer, (2021)Medical Big Data Warehouse: Architecture and System Design, a Case Study: Improving Healthcare Resources Distribution., , , and . J. Medical Systems, 42 (4): 59:1-59:16 (2018)Electricity consumption forecasting with outliers handling based on clustering and deep learning with application to the Algerian market., , , and . Expert Syst. Appl., (October 2023)Query optimization in cloud environments: challenges, taxonomy, and techniques., and . J. Supercomput., 75 (8): 5420-5450 (2019)Healthcare services: applications, trend, and challenges., , and . Int. J. Medical Eng. Informatics, 16 (2): 161-172 (2024)Materialized View Maintenance: Issues, Classification, and Open Challenges., and . Int. J. Cooperative Inf. Syst., 28 (1): 1930001:1-1930001:59 (2019)Impact of technology evolution on the materialised views: current issues and future trends., , and . Int. J. Bus. Inf. Syst., 30 (4): 427-462 (2019)Deployment of a programming framework based on microservices and containers with application to the astrophysical domain., , , and . Astron. Comput., (2022)