It is fortunate to live in a technologically advanced world. A world where there are multiple leaps occurring in technology right from the time you wake up in the morning to hit the sack. It is more common in the mobile industry where there is a transition from 4G to 5G or even the cross-industry IT paradigm shifts to the Big Data approach.
Do you know that the standard 5G community is planning to support the transmission and collection of huge amount of data? This can be thought of as a key requirement pillar in the areas that support IoT. But what it is left is for the 5G community to make sure that other Big Data components like the support for network and application intelligence get backed into the architecture of 5G. If that isn’t done, then 5G will end up being a pipe for the Big Data which passes among devices and the cloud infrastructure.
Welcome to the world of big data
The latest developments in technology - the IoT(Internet of Things) drives the big data. Now if you aren’t aware of what IoT is, then it is simply a computing device that is embedded in the everyday objects whose primary objective is to receive and send data, i.e. an interlinked network of everyday things.
Mobile phones have seriously enhanced the generation of Big Data Technologies. The number of connected devices is somewhat expected to reach to about 40-50 million by the end of 2020. You might be surprised to know that data generation is hugely expanding at an increasing pace. Each minute, about 400 hours of new videos are uploaded by YouTube users. Even on Instagram, it is about 2.5 million posts.
As per the recent report submitted by IBM, each about 2.5 Quintillion bytes of data is created. Even there are reports suggesting that the amount of data which is going to be created in about 2020 will reach to about 40-45 trillion gigabytes. Somewhat this is 44 times more than in 2009.
Can computer network running Oracle database handle Big Data?
To answer this question, you need to find or get a simple example. The simplest example of a traditional database tool is an Excel sheet. An Excel sheet can easily handle about one million rows and easily run on your PC or laptop. Now at the other end of the traditional database tech spectrum is Oracle DB, that is running on the distributed grid computers. This can even scale and easily handle hundreds of millions of records.
Now for Oracle DB to handle applications of big data analytics, it needs all the input data to be structured. Also, they must fit into a pre-defined alphanumerical record. But in most of the cases, these so-called big data solutions comprise of semi-structured or fully unstructured data (here it is the mixture of videos, text, sensor data and pictures). So, these can’t be fitted into the traditional database systems’ structure.
Frankly, this is what makes Big Data technologies and systems very much different and where one needs the application of the latest analysis methods like machine learning is required. Now, these methods will fully allow systems to analyze and really make decisions without getting explicitly programmed for any kind of structure of data.
Role big data plays in improving network & application intelligence
No doubt, IoT is the key part of the 5G technology and one must really understand how this unstructured data can play a major part in this story. Just think of billions of sensors which send back all kinds of data (which even includes videos) to the network. Here the opportunity lies in using this data for improving the network operation itself. Even it can be for assisting key and latest applications which emerges in 5G and work better.
Big data analytics based intelligence refers to the techniques used for automatically improving application and network performance, getting recovery from error conditions, and giving a better end-user experience which is by analyzing location, context, etc. Frankly, right now, we are technologically on the brink of useful machine intelligence along with the self-managing systems. However, we must move immediately and fast for ensuring that such ideas are incorporated into 5G architecture as much as possible.
Entering the scene - 5G
Now as you have a good understanding related to Big Data technologies and how it gets processed, the time has come for you to dig deeper and have a good understanding of the 5G concept and how it is seriously interconnected to the Big Data.
Before we start to analyze the effect 5G has on applications of big data analytics, you must know what 5G is. To put in a simple way, 5G is nothing but a wireless technology that provides a staggering growth in the transmission bandwidth. This is theoretically about ten gigabits each second. So, to define or explain in an easy perspective, it is like downloading a whole movie of 1.25 GB in simply one second
Isn’t it truly amazing? It truly is. 5G is supposed to be launched as a fully functional wireless technology in coming months or by 2020. So, just imagine, this, if you are able to download 1 GB file in about 1 second, think of how much time it would take for you to download 10 GB of a file, which is roughly about 10 seconds. Of course, this is based on the region where you are using the 5G.
Keep in mind that downloading a huge amount of data in a short span of time directly points to Big Data solutions. So, it means that there would be tremendous mobile traffic, and to handle this kind of traffic, companies are planning to incorporate huge communication and computing resources. Frankly, this huge amount of traffic will lead to back-haul congestion and you really would want to mitigate it.
In addition, you even have to take into account the concept of lowering the latency. Sometimes certain cloud computing tech can be integrated along with mobile technology. This is done to facilitate computer intensive tech like interactive gaming and augmented reality. So, no doubt, 5G will easily revolutionize the basic handling of Big Data solutions. Also, it will easily improve caching, communication, and computing capabilities.
5G wireless tech can even play a great role in Big Data pre-processing as it is available 24/7 and also it creates a huge impact on the network storage capacities and other computing capabilities. So, now let’s apply this basic process of analyzing Big Data into an example. IoT devices can assist in giving us all the required raw data. With regard to edge computing or caching, you can do a certain kind of operation on these data like sorting or compression operations (Data Pre-processing).
Also, 5G wireless networks will transport data at a quicker rate to various centers for analysis. Finally, those centers will analyze the data as per their needs. This clearly shows that 5G acts as a bridge among data centers and data sources in getting the data transported from the major source to the center at a quicker rate.
Relationship between big data & performance
Most people aren’t aware that Big Data solutions can improve performance. Now the question is how? As clearly stated previously, Big Data can assist in drawing out some of the best insights, thereby developing certain methods to increase profits as well as performance. For example, through Big Data analytics, you can increase revenue, enhance user experience and effectively manage network resources. You can easily view the weak points that are present in the system even how they can be mitigated.
Now you are familiar with the latest developments in technology like Big Data, how it is processed and the benefits one get. Also, you found out about the role 5G plays in Big Data processing.
We are living in an era where everything is digital. Even we depend on technology for doing the hard works which we are supposed to do, thereby making our lives easy. So, it can be rightly said that Big Data and 5G wireless tech are really going to revolutionize our lives as well as work.