Big Data Era: Get to Know the Basics, Conventional Is The Key!

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Big Data is not a new trend that has emerged in the digital era, but the Big Data trend itself occurs when companies or organizations already know the ability of Big Data Analytics which is very profitable for them. 

Big Data is a quantity of data or a collection of data that requires a way to be able to manage the data starting from collecting, managing, analyzing and visualizing the findings of big data. 

Utilization of Big Data is a “treasure” that can enable organizations or companies to continue to improve. However, what is actually the development of big data itself? 

Considering that Big Data is not a newly emerging trend, this DQLab article will discuss Big Data and its use to meet industry needs. Come on, immediately refer to the following discussion.

Big Data Era, Conventional Is The Key

Big Data Era Get to Know the Basics, Conventional Is The Key!

The digital world or Information Technology is actually a tool that makes life easier for humans. We often witness social interactions in the digital world that no longer need to physically present one individual to another. 

All conveniences are provided without having to interact directly in a transaction. But on the other hand, we are also presented with opposite things. 

For example, the queue for online motorcycle taxi drivers who are registering at an application company. Questions immediately arise, the application should make it easier, but why do they still have the term physical queue to register themselves.

Today’s human life seems inseparable from the role of information technology which is growing rapidly. Tools that actually help human life may in the future surpass humans themselves. 

The proof is that these man-made devices are gradually replacing the role of humans, such as smart phones, robots and all devices related to the world of information technology. 

Artificial intelligence, for example, developed by experts, will be able to answer even the most basic human needs. As a result, it causes the world to be in a state of uncertainty (disruption).

The development of the world of Information Technology cannot be separated from data or information which is currently the world’s main commodity. 

Countries that have claimed to be advanced in the field of IT are competing to explore and collect data on community groups for specific purposes, be it for economic, social, or individual human issues. 

The term Big Data is currently becoming a section among IT practitioners and academics. Big Data is currently developing along with advances in Information Technology. 

However, many people miss that the Big Data era actually brought humans back to the traditional, conventional and manual world in terms of methods or methods. 

In this case, before discussing Big Data, the principles that must be remembered are information and data.

Many people miss that true data in a philosophical view are facts and statistics collected as references or analysis, while information is facts that present something. 

The information and data are used as the basis for the appearance of a reason or calculation. While experts say that Big Data is information and data related to volume, speed, diversity of information and others that are used to increase insight and make decisions.

Big Data is actually information that forms the foundation. In the study of information philosophy, it simply examines the foundations, methods and implications of data and information. 

One of the problems in Big Data is the scientific method. The conventional scientific method may be relevant, valid, usable, and complementary to other methods. In information and data the most basic issue is validity. 

This means that the validity of data and information can be tested, while in the IT or digital world, these two things are still a problem.

For example, when you register on a social media account, do you upload valid personal data profiles, or just fake dataor fake. Meanwhile, the essence of data and information is the reality or similarity of data with actual facts. 

In the end, the Big Data era is an era where methods return to conventionality to gain validity.

1. Development of Big Data

Before going further to find out the use of Big Data for the industry, it’s a good idea for DQLab data friends to know a brief history of Big Data. According to John Graunt in 1663 said Big Data is a large amount of information and is not controlled because the management of this information requires statistical assistance. 

Graunt himself became the first person to use statistical data analysis. The presence of Big Data can help new processes and significant developments for companies, both small companies and even large companies. 

The use of Big Data knows no boundaries and time, because almost every day Big Data will continue to grow and also spread on the internet, for example, transaction data made on websites, conversation data on social media, new customer data, 

2. Big Data in the Real Work Industry

There are changing times with increasingly sophisticated technology, large and small organizations have implemented Big Data and also analytical techniques to utilize the volume of data into useful data. Here are some of the benefits of the power of Big Data in the industry, namely:

3. Trend Big Data dan Data Science

Facing the industrial revolution 4.0, the trend of using Big Data Analytics and Data Science is increasing. Not only does it provide benefits for knowing customer behavior but also provides strategies for decision making that are very precise and accurate. 

However, with the increase in data obtained, companies will need reliable and skilled data practitioners such as Data Scientists, Data Analysts and Data Engineers to help analyze Big Data properly. 

If the data is analyzed properly and the process is carried out regularly, the data can be followed up until the goals of the organization or company are successful.

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