The Internet of Things is a new model that has led to the evolution of a new way of living. It has resulted in the development of cities, industries, and transportation. However, it is still in its juvenile stages and is enhancing each day to achieve new heights.
One of the practical uses of the Internet of Things is in big data analytics, which involves processing machine learning and artificial intelligence using big data platforms. This can help various organizations make faster and better decisions as per consumer trends. One can quickly understand big data and the Internet of Things by enrolling in various big data courses online.
What is Big Data?
As the name suggests, big data means a large amount of information that comes from various sources. It is measured in multiple units such as petabytes, terabytes, and exabytes and is popularised by the four ‘s- Volume, Variety, Velocity, and Veracity. In addition, big data and specific computing software help analyze new behavioral data for a day, such as websites visited and location.
The Internet of Things (IoT) mainly talks about the networking of devices for collecting data through different platforms. Once collected, the information is shared over the internet for other purposes. It enables the communication between electronic devices and sensors to facilitate innovative solutions for various issues related to businesses and industries around the world.
Applications of the Internet of Things
IoT has been extensively used in several domains such as medical, industrial, environmental, to name a few. It has been used globally in American, European, and Asian Pacific subcontinents. IoT has been used for different purposes in different regions. For example, Europeans are using it more in smart city projects to develop the quality of life while Americans have been using it more in healthcare projects.
If we look at the global share of IoT projects worldwide, the smart city projects are at the top, including IoT-enabled air conditioning, television, home appliances, etc. This intelligent home business economy is expected to cross about 100 billion dollars by 2022.
Smart homes not only provide a better quality of life but also helps the user to manage the finances and day-to-day expenses, for example, lower electricity consumption. With all such facilities, it is clear that the future of Big data and IoT is extensive in the coming years. Thus more and more people are interested in gaining information about IoT through various big data courses.
Why do we need big data?
- Due to a lack of facilities in rural areas, people migrate to cities, resulting in increased population and unemployment. Therefore, there is an extensive need for smart solutions in various sectors such as health care, mobility, and infrastructure. In addition, IoT has to lead to better air quality management, public safety, and traffic with the advancement of technologies
- Another need for IoT can be visualized in privacy and security. Many private IT companies and organizations face disaster contingency and privacy issues that can be solved through IoT by developing a framework that fits the global needs
- Big data enables finding solutions for better authentication and control to minimize the loss of confidential information
- Another critical aspect is agriculture which depends on various factors like ecological and geographical, and these ecological factors can be controlled through the Internet of Things
Challenges of IoT
Though big data and IoT can lead to a better quality of life and technologies but still a need to solve the issues and challenges that are involved in the application of IoT; therefore, the IT developers need to think about a better approach and advanced technologies. Let us explore the challenges faced by the Internet of Things in general
- Security and Privacy issues
Due to the lack of authorization and authentication, the most challenging issue faced by big data is security and privacy. Therefore, there is an urgency to resolve this issue so that there could be lesser cyber attacks and vulnerabilities and people get more involved in the big data courses. In addition, there is a security risk when there is communication using wireless technologies. Therefore there is a need for certain methods for the backup plan.
- Ethics and law
Another big issue to the IoT is law and ethics. Though IoT has solved real-life problems, there is still a lack of trust in IoT devices.
So, what is the future of big data? Well, it looks like rainbows!