Big Data Analysis and Implementation in Different Areas Using IoT

Introduction

Internet of Things (IoT) is a concept of providing uniquely identifiable objects connectivity to the Internet. When billions of things connect, it will be difficult to manage, and analyze the huge amount of data, as each object will send and retrieve data. Many challenges are related with analysis of big data on IoT due to the heterogeneity, variable data formats, priorities and specifically numerous numbers of connected devices.

Big data refers to the huge amount of data. It includes all type of data. The data is traditionally collected and then processed and move to a data warehouse for analysis. When the huge data is collected from many places, it may not necessarily relational data. This data can be treated as the big data. Since data is more diverse and without structured and difficult to process in a fast manner. Data mining is more efficient to handle these type data. In IoT, information administration is a major issue because of the availability of billions of gadgets, items, forms producing enormous information. Since the Things are not taking after a particular (normal) Standard, so examination of such information turns into a major test. There is a need to expound about the qualities of IoT- based data to find out the available and applicable solutions (Shi & Liu, 2011). Such kind of study also directs to realize the need for new techniques to cope up with such challenges.