Vol 2, No 1 (2024)

Data Management and Analytics in Cloud-Iot Environments: Challenges and Solutions

Authors: Ritu Sharma, Kapil Kumar

Abstract: The integration of Cloud Computing (CC) and the Internet of Things (IoT) has generated an unprecedented amount of data, necessitating efficient data management and analytics solutions. This paper examines the challenges and solutions related to data management and analytics in Cloud-IoT environments. We discuss the key components of data management, including data collection, storage, processing, and analytics, and explore various techniques and tools for managing and analyzing large-scale IoT data. The paper also highlights the role of machine learning and artificial intelligence in enhancing data analytics capabilities. We present case studies and real-world examples to illustrate the practical applications and benefits of effective data management and analytics in Cloud-IoT environments. The paper concludes with recommendations for future research to address the evolving challenges and develop advanced solutions for data management and analytics in Cloud-IoT ecosystems.

Keywords: Cloud Computing, Internet of Things, Data Management, Analytics, Machine Learning

 

 

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