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| Title | Big Data Analytics And Big Data Processing For Iot-Based Sensing Devices |
|---|---|
| ID_Doc | 11995 |
| Authors | Pal P.K.; Awasthi C.; Sehgal I.; Mishra P.K. |
| Year | 2022 |
| Published | Transforming Management with AI, Big-Data, and IoT |
| DOI | http://dx.doi.org/10.1007/978-3-030-86749-2_2 |
| Abstract | The current development and growth in the social and industrial sectors have evolved the use of sensing and smart devices, collectively called the Internet of Things (IoT). Huge volume of information being produced and collected by these IoT devices is also called Big Data, which needs to be managed, processed, and analyzed for the development of the social sector such as health care, education and smart community, and industrial sectors like manufacturing and production. Big Data analytics and processing have contributed to the advancement of society as well as improved the industrial processes. High speed and continuous sensing generate huge volumes of complex data, and processing and analyzing these data in a certain time limit is a big challenge. For a real-time decision-making and monitoring system, data processing and analysis are challenging due to limited computational, communicational, and storage resources. Big Data analytics and processing tools can be applied over these massive data as per the type of application and outcome required. Different types of applications need to be supported by a variety of tools based on different principles and approaches. Big Data is a set of voluminous and heterogeneous information in a coordinate, semi-structured, and unstructured form. Modern innovation in machine learning (ML), deep learning (DL), and artificial intelligence (AI) fulfills the requirement of Big Data analytics processing for advanced real-time decision-making, monitoring, and controlling systems. Classification and processing of stream of data generated by sensing devices help predict future insights. It identifies information required to control and monitor decisions for an individual, a society, an organization, and an industrial application. In this chapter, we discuss the algorithm, principal tools, and technologies required for Big Data analytics and processing over data gathered by different sensing and Internet of Things devices. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022. |
| Author Keywords | Big data; Deep learning; Machine learning; Sensors; Smart cities; Smart devices |
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