NAVIGATING DATA MANAGEMENT CHALLENGES IN INTERNET OF THINGS. A DEEP DIVE INTO HETEROGENOUS DATA STORAGE SOLUTIONS

Abstract

The Internet of Things is a networking standard that connects various hardware, including digital,
physical, and virtual things that may communicate with one another and carry out user-requested tasks.
Traditional database management methods cannot be used in this entity because of the variety, large volume and
heterogeneous data generated by them. The rapid growth of heterogeneous data can only be managed by
distributed and parallel computer systems and databases. When it comes to handling vast amount of diverse
data, most relational databases have a variety of drawbacks because they were designed for a certain format.
One of the most difficulties in data management is investigating such heterogeneous data. Consequently, IoT
data management system design has to be considered with some distinct principles. These various guiding
concepts enable the suggestion of various IoT data management system strategies. The solution should provide a
unified format for the conversion of various heterogeneous data which are generated by the sensors. The
integration of generated data is made simple by some middleware or architecture-oriented solutions. Other
methods also offer effective storage of the unified data generated. This paper surveys the challenges of IoT Data
management and provides a survey about the storage of heterogeneous data and the type of data used