Difference between IoT and Big Data

Today, the Internet of Things, commonly referred to simply as IoT, and Big Data is the hot terms used on a daily basis in Information Technology circles. It’s almost difficult to talk about one without mentioning the other. Despite their intimate connection, they are not interrelated. Both are the future of data and by data, we mean massive volumes of data. We live in a digital era where new objects are connected to the Internet with the aim of improving people’s lives.

Internet of Things, or IoT, refers to a global network of internet-connected devices or machines able to collect and exchange data. In simple terms, IoT simply is devices that collect data and send it to the Internet. IoT is a large heterogeneous collection of things, which differ from each other. IoT aims to integrate and collect information from and offer services to a diverse spectrum of physical things used in different domains.

Every day trillions and trillion bytes of data are generated by billions of devices that are connected to the Internet, so much that 90 percent of the data in the world has been generated in the past couple of years. This massive volume of data comes from various sources; from posts on social media sites, digital pictures and videos, transaction records, payment histories, sensors used to gather climate information, or GPS signals, to name just a few. Collectively, this data is called Big Data. Analyzing and processing such a massive volume of both structured and unstructured data is almost impossible using traditional software techniques.

Let’s see the differences between IoT and Big Data.

1 IoT is a global system of interrelated computing devices that are able to sense, collect, and exchange data over the Internet. Big Data is described as large sets of data generated from a variety of sources that are so large to process using traditional techniques.
2 The concept is to provide interconnection between devices to create a smart environment thereby making machines smart enough to bypass human intermediaries. The concept is to find insights in new and emerging types of data and content that lead to better decisions and strategic business moves.
3 IoT collects, analyzes, and processes data streams in real-time without any delay to make control decisions in an effective manner. The data streams are not subjected to processing real-time and there is a delay between when the data is collected and when it is processed.
4 IoT involves analyzing machine-generated data such as sensors in home appliances and so on. Big Data deals with human-generated data such as social media usage, photos, and videos, etc
5 IoT is about simultaneously collecting and processing data to make real-time decisions. Big data is more into collecting and accumulating huge data for analysis afterward.
6 Using IoT you can track and monitor assets like trucks, engines, HVAC systems, and pumps. You can correct problems as you detect them. With big data, you can analyze all the information you have about failures and start to uncover the root causes.

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