A Review of Tools for IoT Semantics and Data Streaming Analytics
Martín Serrano, Amélie Gyrard · River Publishers eBooks · 2022
The Internet of Things is having a fast adoption in the industry and with no doubt, in today’s increasingly competitive innovation-driven marketplace, individuals need skills to transform the growing amount of industry, product, and customer (behavior) data into actionable information to support strategic and tactical decisions at the organisations. The Internet of Things (Devices) and the web are every day more and more crucial elements in this data generation, consolidating the need for interpreting data produced by those devices or “things”, physical or virtual, connected to the Internet. In the other hand analytics is a time-consuming process and constantly redesigned in every application domain. The identification of methods and tools to avoid that data analytics over IoT Data is every time re-designed is a constant need. In this chapter, a review of tools for IoT data analytics is reviewed. We provide an overall vision on best practices and trends to perform analytics, we address innovative approaches using semantics to facilitate the integration of different sources of information [ 1 ].