The data from IoT applications exhibits two characteristics that require different treatment from the analytics approach. Many IoT applications, such as remote patient monitoring or autonomous vehicles, generate streams of data continuously, and this leads to a huge volume of continuous data. Many other applications, such as consumer product analysis for marketing or inhabitant monitoring in forests or underwater, produce data that accumulates as a source of big data. Streaming data is generated or captured within short intervals of time and need to be quickly analyzed to extract immediate and useful insights and make fast decisions.
On the contrary, the term big data refers to huge datasets that commonly used hardware and software platforms are not able to store, manage, process, and analyze. These two types of data need to...
