What is Big Data? Big Data is a relatively new topic in today’s modern marketing, which refers to the collection and analysis of large amounts of information in a short time.

In this article, we are going to take a look at the features of this topic and examine its aspects.

For years ago, different businesses used to collect multiple data to achieve different goals.

One of the most important goals is to analyze and review information.

This topic has been organized in recent decades and is now known as Big Data.

Although the use of this title for such a topic has become more prosperous in the past years.

But the general basis is what has been proven for several decades and has now evolved significantly with the remarkable development of technology and our digital world.

Big Data: What is it

As the name or it is better to say the term is clear, the topic of big data refers to a huge amount of data (information) that is analyzed in a short time and with high speed and accuracy.

This information can be structured (organized and categorized information) or unstructured (random and irregular volume information).

But contrary to what it seems, it’s not the amount of information that is important and priority; rather, it’s the type of use and exploitation of a part or all of this information by organizations and businesses that is important.

Big Data is a comprehensive system for businesses, especially large businesses.

so that they can make better decisions for their future work through the massive information obtained from this system.

The topic of Big Data began to have an amazing impact on today’s modern businesses in the early 21st century.

Just with the advancement of industries and technologies, the void of an efficient system that can bring a lot of information to the processing and analysis stage in a short time was noticeable.

Characteristics of Big Data

The topic of Big Data is defined as 3V or three letters V, which are the first letter of the four main features of this topic, which we will recount below:

Volume

The first feature of Big Data is its volume and amount, which is known by the word Volume.

Various organizations and institutions create a database by collecting information from various and different sources.

This information can include things such as information related to the volume of transactions and commercial exchanges, information received from social networks or other machines, and classified information.

Velocity

The second important feature of Big Data is the speed of its processes.

Information exchanges must be done at a very high speed and this point is very important.

Some of the technologies used for this are RFID tags, evaluation sensors, and smart measurement systems that receive, process, and announce the result very quickly.

Variety

The format and type of information are different.

This information can be in the form of text, video, audio, or even zero and one codes!

This variety has caused several categories to be considered for collecting and storing information.

Complexity

The last feature is related to the complexity of Big Data.

Since information is obtained from multiple and diverse sources, the process of relating, matching, and harmonizing them with each other becomes complicated.

This issue has caused many organizations to face many problems.

To prevent this problem, comprehensive and integrated systems should be arranged to prevent these problems from occurring.

Why Big Data is important?

Big Data is not so important because it simply contains a large amount of information, rather, as we said, it is your use and how you use this important information.

But in general, it can be said that because Big Data is a good source of a lot of information in different fields.

you can collect vital information from these sources.

Information that thousands of companies and commercial companies use for their purposes.

The result has shown that the companies that have used Big Data to improve their business have not only reduced their costs in this way.

But with the help of this information, they have produced much more optimized products and services.

subsequently increased their sales several times.

The main sources of access to Big Data information

Although Big Data can be used for any industry and business, some organizations are somehow dependent on this system.

It is interesting to know that most large businesses create a separate department just for this purpose.

In the following, we will introduce the most important organizations that need Big Data to survive.

Banking system

Banks and financial institutions are one of the most important users of Big Data.

In our modern world, every second an uncountable amount of information is being exchanged from many sources.

Banks are one of the institutions that always have a large share of this huge amount of information.

Therefore, they are always looking for a way to manage this huge amount of information.

Educational Systems

Information means education, and when the discussion reaches a specialized organization like the ministry of Education, the importance of data is clearly defined.

Educational organizations such as schools, higher education institutions, universities, schools, etc., have a strong need for updated information on educational topics.

They should upgrade and update their database every moment.

every second to have new methods, new topics, and modern teaching techniques.

Health and wellness organizations

Hospitals and other medical and health centers also have a very large share of daily voluminous information.

Amazon Company

A few years ago, according to certain policies, Amazon limited its regular activities for a while.

This issue coincided with the impressive development of other stores, especially one of Amazon’s main competitors, eBay.

This action led everyone to think that Amazon was going bankrupt and that eBay and other stores like Alibaba were going to take its place.

How exactly does Big Data work?

The main point of Big Data is the analysis and review of statistics and information.

After you have obtained the necessary information through databases and various sources, it’s time to analyze them.

At the beginning of this article, we said that the main feature of Big Data is the large volume and high speed of information processing and analysis, and of course, we can’t manually check this large amount of information one by one.

For this, we must use computer systems and related tools such as special software.

Conclusion

Big Data is not a topic that can be passed easily.

Because the main contacts of Big Data are large companies, it can’t be said that Big Data does not apply to ordinary and small businesses.

You can even use the common methods of this system for free and without intermediaries.

You don’t have to have complex analytics.

it’s enough to create a suitable place to collect information from available sources such as social networks and collect any information that may be useful to you in this place and then examine and obtain useful information from them.

If you want to do this work professionally, maybe it is better to leave the process of these works in the hands of active companies and service providers in this field. 

We hope you enjoy this article and we would like to you share your thought with us in the comments.