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Analyzing Huge Amount of Data with Cloud – based IoT Analytics - Topics are: IOT and bigdata relation, intel IOT analytics structure, collecting and analysing sensor data. IoT analytics is the process of analyzing data collected from connected devices, or the Internet of Things (IoT). The goal of IoT analytics is to provide actionable insights from the data, such as answers to business problems, diagnoses for machine failures, and predictions for the future.  IoT analytics can be categorized into three types: Historical analytics: Helps you understand what has happened Real-time or... Show more

Analyzing Huge Amount of Data with Cloud – based IoT Analytics - Topics are: IOT and bigdata relation, intel IOT analytics structure, collecting and analysing sensor data.

IoT analytics is the process of analyzing data collected from connected devices, or the Internet of Things (IoT). The goal of IoT analytics is to provide actionable insights from the data, such as answers to business problems, diagnoses for machine failures, and predictions for the future. 

IoT analytics can be categorized into three types:
Historical analytics: Helps you understand what has happened
Real-time or streaming analytics: Helps you understand what is happening now
Predictive analytics: Helps you understand what is likely to happen in the future 

The main types of IoT analytics are:
Descriptive analytics: Makes sense of real-time data from IoT devices
Diagnostic analytics: Provides insights into why things are happening 

IoT analytics is often considered a subset of big data, involved with combining heterogeneous streams and transforming them into consistent and accurate insights. 

Some IoT analytics platforms include:
ThingSpeak: Allows users to collect, analyze, and visualize data
Ubidots: A cloud-based IoT platform that offers analytics and visualization tools 

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