The impact of IoT on big data

When big data and the Internet of Things are intertwined, every device around us is connected to the cloud and shares data in real time. Smart agriculture, e-health, smart home, smart retail, smart city, smart environment are some of the IoT applications in today’s world. These industry applications generate huge amounts of data with the aim of improving their business processes, enhancing customer experience, and operating in the increasingly fierce competition. Maintain industry advantages in competition. This means that IoT directly impacts data, inflating its size (Big Data), and companies should leverage new-age technologies to gain accurate insights from data to make informed business decisions.

IoT opportunities

Turning science fiction into reality, the Internet of Things is touching every aspect and corner of our lives, and the benefits brought by this technology are beyond imagination. The Internet of Things is a new way to connect one machine to another, and in the future, through automated services and systems, the comfort and convenience of our lives can be greatly improved. Therefore, most of the major business leaders and even start-ups are investing heavily in this area by collecting huge amounts of data with the aim of harnessing the power of big data from sensors, actuators and cameras and interpreting it through big data analytics to derive actionable Operational Insight.

The impact of IoT on big data

By now, we know that Big Data and IoT are two sides of the same coin. Let’s see how IoT impacts big data: The first and most important thing that comes to our mind about IoT connected devices is the huge amount of data that needs to be stored. Therefore, to meet this demand, companies are moving towards PaaS (Platform as a Service), a cloud-based platform that helps companies store endless amounts of data. There are several types of PaaS: private, public, and hybrid, and depending on the nature of the data collected, you can choose the right PaaS type.

Security and privacy are certainly not new issues. IoT security vulnerability reports are sufficient evidence of the risks to the IoT ecosystem. Therefore, companies should adopt technologies that provide high security for data and devices. There is no doubt that hackers will work relentlessly to hack IoT devices and data, however, your efforts should always fail them in their attempts.

The last, and probably the most important part, is analyzing IoT data in real time. Without proper analysis of the data, the entire process of data collection and data security will obviously be in vain. Therefore, companies must leverage the right analytics tools that will help them gain deep and actionable insights about IoT data.

From data collection to data security to data analysis, IoT has a huge impact on big data, and the success of any company depends on how they collect, analyze, manage and utilize this data.