The process of gathering, organizing, and analyzing Big Data to find out patterns and other helpful information is called the Internet of Things Big Data Analytics (IoT-BDA). Numerous organizations are gaining the advantages of having it as the accessibility of Internet of Things Big Data Analytics (IoT-BDA) augments. Real-time IoT application lets producers analyze data incessantly and ascertain or envisage an appliance maintenance schedule or promptly replace malfunction equipment. The most commonly used IoT application domains are as follows:

A. Smart City: They are witnessing significant augmentation in data created using IoT centered sensors. Smart City (SC) is built via the composition of various attributes. Sustainability, urbanization, Quality of Life (QoL) and smartness are the '4' main traits of the majority of Smart City proposals.

B. Smart Transportation: To enhance safety, efficiency, service, as well as traffic, it implies the technological advancement of electronics, communications, computers, control, and sensing as well as detecting the disparate sorts of transportation systems.

C. Smart Grid: These are the next-generation power distribution networks by utilizing ICT to augment the overall energy efficiency and the power grid’s service quality.

D. Smart HealthCare: This stands as a health service system that employs technology, say wearable devices, IoT, as well as mobile Internet, for accessing information, connecting individuals, materials, and also institutions associated with healthcare. After that, it actively manages and also intelligently responds to the medical ecosystem requirements.

E. Smart Farming: This stands as a management conception concentrated on rendering the agricultural industry. This assures the agricultural evolution as of a smaller scale and decentralized to a larger scale. Intensive transforming agricultural production design into an exact, automated, and intelligent one and promoting tenable agriculture development.

F. Smart Home: This is a significantly automated residential tower with integrated appliances, accentuating modern technology, handiness, and (domestic) efficiency. It signifies a convenient house setup wherein appliances and devices can be automatically controlled anywhere utilizing a mobile or other networked device.

G. Smart Industry: Smart industry settings utilize communication and network technology to handle issues accelerated using the automation system. It is enabled via IoT joined devices, Big Data, Data Analytic, robotics, Machine Learning, sensor technologies, and artificial intelligence. Data Analytics aids to rapidly and precisely determine the status of equipment and production operations to make the correct judgments and decisions such as Digital Twins and Industrial Internet of Thing (IIoT) or Industry 4.0.

Figure 1: IoT-Big Data Analytics (IoT-BDA) Architecture

Big Data generated as of these IoT application domains is amassed in the data centers in 4 phases: i) IoT nodes sensors/Actuators, ii) IoT gateways and Data Acquisition Systems, iii) Edge along with iv) Cloud Analytics. A component in the framework of IoT ought to be furnished with sensors and actuators, therefore providing the capability to emit, accept, and process data. The central core for sensors that gathers their data is the IoT gateway. After that, the data aggregation together with conversion functions is performed on the data acquisition stage. When IoT data is digitized and aggregated, additional processing is required before it inputted the data center for which Edge Analytics is employed. Cloud Analytics is when data that require more detailed processing is sent to physical datacenters or cloud-centered systems. Utilizing disparate Data Analytics techniques, this vast sum of data is analyzed. This IoT data analytic process is exhibited in Figure 1.

           Much research was performed in the IoT-Big Data Analytics field. Numerous algorithms or techniques were generated in recent years. The reason for this is to discuss different approaches and techniques in the field of IoT-Big Data Analytics in recent years and comment on future research trends.