Data variety, come as you are in multi-model data warehouses

Author:

Bimonte Sandro,Gallinucci Enrico,Marcel Patrick,Rizzi Stefano

Funder

Agence Nationale de la Recherche

Publisher

Elsevier BV

Subject

Hardware and Architecture,Information Systems,Software

Cited by 13 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. An approach to on-demand extension of multidimensional cubes in multi-model settings: Application to IoT-based agro-ecology;Data & Knowledge Engineering;2024-03

2. ETL Technologies for Big Data: A Comparative Study;2023 IEEE International Conference on Advances in Data-Driven Analytics And Intelligent Systems (ADACIS);2023-11-23

3. Augmented Data Warehouses for Value Capture;Communications in Computer and Information Science;2023-11-21

4. Workload-Aware Performance Tuning for Multimodel Databases Based on Deep Reinforcement Learning;International Journal of Intelligent Systems;2023-09-05

5. Logical big data integration and near real-time data analytics;Data & Knowledge Engineering;2023-07

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