Nesnelerin interneti bağlamında büyük veriyi yönetme tekniklerine ilişkin literatürün kapsamlı ve metodotik analizi

Big Data and the Internet of Things (IoT) have brought about previously unheard-of opportunities and challenges for data management. The body of research on big data management techniques in the context of the Internet of Things is thoroughly and methodically reviewed in this study. The study covers a broad range of research, from fundamental ideas to innovative techniques. With the goal of enhancing user convenience and lifestyle, the Internet of Things (IoT) has emerged as a transformative force. It incorporates a number of underlying technologies, including networking, sensor technologies, and man-to-machine and machine-to-machine communication. The Internet of Things' success depends on these technologies' ability to manage data effectively. This article addresses a range of data-related topics, including data sources, collection methods, processing strategies, and transmission devices, in order to investigate the challenges and issues associated with managing information in the setting of the Internet of Things. The article describes and discusses the difficulties posed by having to handle massive volumes of heterogeneous data across multiple systems. These difficulties are discussed in terms of the logical and practical components of data management and communication networks. In addition, the paper looks at IoT data models and techniques for data control, cleaning, and indexing that take into consideration the unique characteristics of IoT data. In-depth consideration of the benefits and limitations of data management in the Internet of Things is provided in the article's concluding sections. Real-world applications are presented to illustrate the practical implications of these considerations, offering insights into the ways IoT data management can positively impact various domains.