In order for one to claim that they can deliver iot analytic solutions requires big data, but iot analytics must also include data stream management and edge analytics. Data is defined as big data if it is more than 1 petabyte. There is no minimum required for data to be considered big data. What type of data is being collected. Collectively, this data is called big data. Analyzing and processing such a massive volume of both structured and unstructured data is almost impossible using traditional software. Iot devices are major contributors to big data due to the volume, velocity, and variety of data they generate. Understanding the core characteristics of iot (networked. Based on the increased volume and type of data, big data requires a different approach to data analysis, computing, and storage. Different hardware and applications are.

Although internet of things and big data are two completely different concepts, they complement each other in the case of synthesizing and processing information to serve. Let us now have a walk through the major mistakes caused while handling iot big data and how to avoid them: The iot generates massive amounts of data. Among the statements provided about the internet of things (iot) and big data, the statement that 'sops are a source of big data' is not correct. The statement that connected iot devices are not an important source of big data is not true, as these devices generate significant amounts of data used for various insights.

-