Intelligent Database Management Solutions for Big Data Environments, Large-Scale IoT and Cloud Computing Applications
DOI:
https://doi.org/10.63282/3050-9246.IJETCSIT-V5I4P118Keywords:
Big Data, Intelligent Database Management, Nosql, Iot Data Management, Cloud Computing, Distributed Systems, AI-Enabled DatabasesAbstract
The transformation of the data ecosystem in a contemporary way has been largely influenced by the rapid growth of Big Data, the extensive application of the Internet of Things (IoT), and cloud computing. This has led to a whole new range of issues related to storage, processing, indexing, scalability, and smart decision-making that were not present before. Relational database systems have limited possibilities to follow the speed, volume, and variety requirements of such environments. This review is focused on intelligent models of database management systems that use AI techniques for improving automation, adaptability, and performance in next-generation databases intelligent big-data-oriented database models, distributed and parallel data models, IoT-oriented time-series management systems, and cloud-oriented intelligent storage and query strategies. It also reviews the use of NoSQL/NewSQL models, graph stores, context-aware IoT data management, edge as well as fog/cloud integration, and hybrid/multi-cloud database strategy implementation that revolve around scalability, data heterogeneity, privacy, interoperability, and real-time analytics future research challenges of intelligent database systems in digital ecosystems at a large scale.
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