Big Data and Mobile: What’s the Big Deal with 5G & Big Data

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Big Data and Mobile
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Big Data and 5G Mobile: With the continuous growth of technology and networking, we are close to witnessing the impact of 5G networking after 4G. For future generation networks, which are referred to as 5G, it is anticipated that the number of devices will increase by a factor of one thousand.

It becomes discernible that the size of data in 5G networks will be massive as well as diverse in nature. Such data is known as big data.

In this article, we will discuss big data and mobile and the impact of 5G on big data.

What Is Big Data?

The first step is to have a better knowledge of what big data is. Big data is a word that denotes massive data store, as its name indicates. It may be both structured and unstructured. The quantity of data is irrelevant; what we do with this data is crucial.

It is powered by embedded computer devices in daily items that transmit and receive data, constituting an inner network of everyday objects. Mobile phones have substantially enhanced the creation of massive amounts of data.

Big data consists of four components: volume, variety, velocity, and value. These components basically depict how and what kind of data can be analyzed and whether it is worthy. Big data is stored and accessed in cloud computing.

Cloud storage is simply storing or backing up data in a space away from its source and can be accessed easily. The whole process of analyzing big data depends on various processes.

  • Data Acquisition: It is acquiring raw data from various sources, either from the original source or any back sources.
  • Data Pre-Processing: It sorts data and performs operations on raw data, such as compression or encryption.
  • Data Transportation: It refers to the process of moving data to different centers for analyzing it.
  • Data Analysis is the last and main process in which various methods and tools extract useful insights from the data, which can be further used to develop algorithms.

What Is 5G?

Now we will understand the concept of 5G and how it can rely on big data and mobile. 5G is the fifth-generation wireless mobile network, and its primary purpose is to connect individuals, devices, and mechanisms.

It is a technology offering a staggering increase in transmission bandwidth, theoretically 10 gigabytes per second.

The best thing about 5G, which you can also consider as its vital point, is its performance. It has an average speed of 50Mbps which is capable of up to 10Gbps. Imagine downloading a file of 1.25 GB in one second.

However, 5G is not just about high speeds. It has a network slicing feature, unlike 4G, which allows dividing one physical network into multiple virtual ones.

It also offers a lower latency rate and ensures shorter delays while transferring data. This improved latency rate can also open new gates to opportunities like the remote control of machinery, which will significantly impact medicine, industry, etc. It also will have an impact on the entertainment industry.

Broadcasters of events like sports and concerts will be able to produce immersive experiences via VR and other technology that you won’t have to leave your home.

So it is understood that 5G, a breakthrough in wireless networking, is expected to bring new and significant advancements to business, network communication, and entertainment. But how will it rely on big data?

Big Data and 5G

As mentioned before, 5G will allow you to download a huge file in seconds. This directly points to big data. This will cause tremendous mobile traffic, but to solve this problem, companies will be incorporating massive communication, caching, and computing resources.

Cloud computing technologies will also be integrated with mobile technologies. In short, 5G aims to revolutionize big data handling and significantly improve communication, caching, and computing capabilities.

5G also aims to play a significant role in big data pre-processing due to its full-time availability and impact on network storage.

How Will 5G Strengthen Big Data’s Role?

IoT devices’ global market value is expected to grow more in 2025. IoT devices depend on their own processors and internal memory because of speed and latency limitations.

But 5G will help and do most of the computing in the cloud to an unmatched degree. Data collection speed will not only improve due to the increase in mobiles but due to the increased speed too.

The power of 5G will also impact the development of smart cities. The 5G-led development in IoT tech will turn our cities into networks. They will be able to collect a vast amount of data and bring noticeable changes in our daily lives. 5G would make cities more comfortable for the residents.

However, where all of these improvements and developments are helpful for us, it has a downside: less privacy. Living among smart devices that are constantly gathering our data is not an easy thing. This technology is limiting our privacy.

Countries like Singapore and US, which are close to becoming smart cities, are full of sensors, GPS, facial recognition, CCTV cameras, etc. Their government focuses on benefiting data collection instead of protecting the citizen’s privacy.

Conclusion

5G and big data management strategy will pave new possibilities for data collection and analysis. Its impact will be felt across diverse businesses, sectors, and government systems. Data analytics will benefit most from 5G networking, like high bandwidth, low latency, and mobile edge computing.

Everything will rely on the 5G network’s fast big data transfer capabilities. As organizations are adopting hybrid cloud solutions for more mobility, scalability, and cost-efficiency with their data management applications, 5G will allow them to handle voluminous amounts of data and meet higher standards of reliability and performance.

It has downsides which we definitely can not ignore. We cannot stop the progress of 5G and its relationship with big data. They will become a big part of our lives as technology will use them to ease our lives.

We have to ensure that all the technology does not have a hypnotizing hold on us, and we must demand sensible legislation to meet these new challenges. To ensure our privacy, we should know how these technologies work to gather each piece of data and how it can affect our lives.

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