According to several studies, the use of IOT is expected to generate 4.4 trillion GBytes and this figure is expected to increase in subsequent years. In addition, this data must be read, exploited and transmitted within specific timeslots, so, as you might have guessed, the major challenge in the field of the Internet of Things is to be able to exploit a huge amount of data, hence the use of big data.
Big Data should enable real-time analysis of the data generated by IOT and thus optimize the use of this technology. To do this, Big Data proceeds in four steps:
Collecting data generated by IoT by following the three primary principles of Big Data: speed, volume and variety;
Storing data in files within the Big Data database;
Data analysis by complex and efficient analytical systems, such as Spark or Hadoop;
The implementation of the report of the analyzed data.
Big Data will play an important role in information processing efficiency and will enable IoT developers to optimize these tools to broaden the current perspective.
How do IoT and Big Data interact together?
The interaction between IoT and Big Data is not one-way. IoT could also bring a lot to Big Data. The more important IoT are in your daily life and that of your city, the more developers will be demanding greater capacity in terms of big data and the more this business will grow. It will thereby be important to improve data storage technologies to develop systems capable of processing even more data. This interaction could thus enable technological growth in both areas simultaneously.
Examples of Use
Here are 2 examples of areas where the combination of Big Data and the Internet of Things could have an innovative impact:
Business: in business areas, the combination of IoT and Big Data can dramatically transform business marketing. The massive collection of data and the processing of it could give real added value to the business world, to obtain optimal commercial Companies are increasingly storing their data in more operational and cost-effective Big Data Clouds.
Health: Having to diagnose diseases remotely with optimal reliability might make you think of a futuristic film scenario, however, this is one of the major health issues of IoT. The research focuses on ways to remotely generate diagnostics and care systems. Big Data will enable highly efficient processing of data from IoT sensors on many physical objects, to enable a better understanding of diseases.
Data security, the Achilles' heel of these technologies
Cyber security is one of the biggest, if not the biggest, challenges of these technologies. Data tends to become the new black gold and it is becoming more and more coveted in a lot of areas, such as marketing for example.
While the issue of data privacy should become even more prominent in the public debate, the issue of data protection against cybercrime must also be taken seriously.
The more systems are connected to the Internet, the more they become a prime prey for hackers. For example, with the emergence of smart cities, hackers could take control of an entire city, if not more.
IoT and Big Data are two independent technologies that are inseparable from each other, to enable well-known technological advances. While the IoT would largely collect data from physical objects through different sensors, Big Data would allow faster and more efficient storage and processing of this data.
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