IoT Network Architecture
IoT Device Architecture
IoT Application Architecture
Client Server vs Publish Subscribe Architecture

Role of Cloud Computing in IoT
Tools, API and Platform for integration of IoT devices with Cloud
IoT cloud platform and integration with Gateway (Thingspeak, AWS IoT and Pubnub)
Web services and APIs

The Industrial Internet of Things (Industrial IoT) is made up of a multitude of devices connected by communications software. The resulting systems, and even the individual devices that comprise it, can monitor, collect, exchange, analyze, and instantly act on information to intelligently change their behavior or their environment — all without human intervention.

There are two perspectives on how the Industrial IoT differs from the IoT.The first perspective is that there are two distinctly separate areas of interest. The Industrial IoT connects critical machines and sensors in high-stakes industries such as aerospace and defense, healthcare and energy. These are systems in which failure often results in life-threatening or other emergency situations. On the other hand, IoT systems tend to be consumer-level devices such as wearable fitness tools, smart home thermometers and automatic pet feeders. They are important and convenient, but breakdowns do not immediately create emergency situations.

I’ll try not to get too technical here. First, there’s the underlying technology, the various wireless radios that allow these devices to connect to the Internet and to each other. These include more familiar standards like Wi-Fi, low-energy Bluetooth, NFC and RFID, and some that you’ve probably haven’t heard of, like ZigBee, Z-Wave and 6LoWPAN

“In IoT the development of big data applications can only be achieved with trusted data, and trusted data can only be sourced from secured devices,” says Beecham Research technical associate Haydn Povey, who is also founder and CEO at Secure Thingz and a former director of Secure Products at ARM Holdings.

A few skills professionals need to have a basic understanding of are – electronic circuit design, microcontroller computing platforms, and programming languages preferably C and Python, networking, and communication technologies, cloud computing and big data. IoT is basically a combination of multiple skills. A diversified skill set is more in demand in IoT. Professionals can choose any of the above-mentioned areas to gain expertise once they have an overall understanding of all the components of IoT, depending on their desired role.

A huge volume of data is being generated as a result of the addition of new sources. In fact, 2.5 Quintillion bytes of data is being generated every day. Internet of Things, Big Data and cloud are all interconnected. As data is not just growing in size but also in variety, there is an increased focus on analysing it in real time to extract important insights. There is a need to develop more effective tools to leverage big data as the conventional tools to store and process data are not enough to handle big data.