How IoT and Big Data Are Perfect Together?
Published on : Friday 03-04-2020
The Internet of Things (IoT) and Big Data are the technologies that are creating a lot of buzzes in today's connected world. With IoT, Big Data technology can move at the edge for real-time decision making, such as identify crop patterns in agriculture using drones, detecting suspicious activities and others. IoT creates opportunities by designing smarter products, delivering intelligent insights and providing new business outcomes.
As millions of devices get connected at an unprecedented rate, they will produce a massive inflow of big data which then require to visualize and extract insights from them.
The integration of both technologies benefits enterprises and end-users by delivering information to act upon. The maturity of big data technologies works in support of IoT companies, as both look for strategizing the ways wherein people observe and leverage data sets. As IoT refers to a system of physical objects that are connected to the internet, big data is a large set of structured and unstructured data, which is generally used to derive insights from that data.
According to reports, IoT will generate around 4.4 trillion GB of data in 2020. This huge amount of data requires a larger storage system with extensive computing power which is difficult to process with conventional systems. This is where Big Data and Analytics technology comes into rescue, storing and processing IoT generated data to improve decision making effectively.
Big data plays a key role in analyzing a large amount of data produced by smart, connected devices in real-time and storing them using a different kind of storage technologies. Those solutions follow sequential steps, including once the vast unstructured data generated by IoT devices collected in the big data system, this largely depends on 3V factors, volume, velocity, and variety. While the big data system which is basically a shared distributed database, the massive amount of data is stored in big data files. Then analyzing this data requires effective analytic tools like Hadoop MapReduce or Spark, among others. And in final, it creates reports of assessed data.
Moreover, existing big data technologies must be extended to effectively store, manage and derive value from continuous streams of sensor data. As the data generated by IoT is increasing at a rapid pace continuously, traditional data storage systems are already being pushed to its frontiers. As a result, it requires more advanced and innovative storage solutions that can handle these growing workloads resulting in modernizing the infrastructure of an organization’s big data storage. In this way, leveraging Artificial Intelligence technologies such as deep learning will be a key differentiator that extracts insights rapidly from enormous streams of data.
To sum it up, I believe deriving insights that will understandable and actionable from IoT devices, Big Data is a key enabler for smarter devices and using Artificial Intelligence can help accelerate this process a step further to realize the future of a smart connected world.