Internet of Things and Big Data Synergy — SumatoSoft Blog | SumatoBlog

IoT and Big Data. Real-life Use Cases

Let us start with real-life examples of IoT systems, where Big Data plays a significant role. The media focuses people’s attention on the mass market side of IoT, for example, wearable devices like smartwatches and fitness trackers. However, IoT possibilities are much wider than the functionality of these products, and IoT has a big thing to offer to businesses. Empowered by Big Data and other modern technologies, like cloud computing, nanotech, IoT systems can be implemented on all levels of business operations in existing companies and even lead to the emergence of new types of businesses that have never existed before. Below there are 3 awesome examples of IoT and Big Data technologies implementation in one system.

Do you believe in miracles? Disney does believe.

Can global Logistics be smart? With IoT and Big Data definitely yes

How IoT and Big Data can help agriculture?

What are IoT and Big Data?

The Internet of Things (or IoT) is a system of interrelated physical devices that can collect and exchange data with other devices and systems over the Internet. A sensor that measures the temperature of the air at home and transfers that information to your smartphone is an element of an IoT system (we have a comprehensive article about IoT architecture).

What is the relationship between IoT and Big Data?

The amount of connected IoT devices has already exceeded the world population, and it continues to grow. To complicate things further, IoT today is more about machine-to-machine communication, rather than machine-to-human. That leads to a situation when IoT applications deal with an incredible amount of data that cannot be processed or even stored using traditional methods.

Let’s find out how Big Data changes IoT systems.

IoT systems include 4 main stages in the architecture that perform varied data manipulations: collection, transferring, filtering and pre-processing, analyzing. The synergy of Big Data and IoT impacted 3 out of the 4 stages.

  • To store the data the only viable option is NoSQL solutions. Big Data processes a vast amount of unstructured data of different origins, content, and formats, which is an almost impossible task for a standard relational database.
  • To analyze the data Big Data analytic software comes into play. Leveraging Big Data technology, businesses get an opportunity to uncover hidden patterns, correlations, market trends, etc. The analysis is what allows farmers to identify places with damaged corps, transportation companies to find effective delivery routes, and Disney to provide an unforgettable experience in Disney Park!

Conclusion

IoT and Big Data synergy can lead us to new technological applications and complex industrial IoT systems. We are about to see innovations we can only dream of. As new applications enter the mainstream of our daily lives, and technology matures, even more ways to leverage the IoT and Big Data are bound to appear.

FAQ

Is it necessary to use Big Data while building an IoT system?

No. IoT and Big Data technologies are interconnected but still independent of each other. If you have a smart TV, fridge, doorbell, or any other connected device they are a part of an IoT system. However, you don’t need Big Data to realize that you forgot to turn off the light in the bedroom or that your refrigerator is out of milk. Big Data is only needed when it comes to a large number of sensors and massive volumes of unstructured data.

How big is the data in IoT?

According to Statista, the data volume of Internet of Things connections worldwide reached 13.6 zettabytes point in 2021. It’s also expected to reach 79.4 zettabytes by 2025. Even assuming these predictions are half wrong, the numbers are still overwhelming! 1 zettabyte is equivalent to1021bytes (a terabyte is equivalent to 1012bytes). We have entered the new Age of data volume. Welcome to the Zettabyte Era.

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