IoT Data Management: Challenges and Solutions in Handling Vast Amounts of Information

Abstract

Effective management of IoT data is critical to maximizing the benefits of connected devices and applications. This paper explores the challenges and solutions associated with handling the vast, diverse, and dynamic data generated by IoT systems. It examines key issues such as data volume and velocity, integration and aggregation, quality management, storage, security, and real-time processing. Through case studies, both successful implementations and notable failures are analyzed to provide insights into best practices and potential pitfalls. The paper concludes with an exploration of emerging technologies and future trends that will shape the evolution of IoT data management, emphasizing the importance of adapting strategies to leverage advancements in AI, blockchain, and edge computing.