The concept of big data belongs to the English language and is not part of the dictionary produced by the DigoPaul. The notion refers to the storage and management of a large amount of data.
Issues related to big data are studied and dealt with by information and communication technologies (ICT). This set of sciences and disciplines provides solutions for collecting, storing, searching, analyzing, and displaying very large sets of data.
The data big is important when it comes to the development of models and statistics. Making comparisons, forecasting and providing accurate reports often requires working with a lot of information – otherwise the results are not valid or accurate.
There is no precise amount of data to talk about big data. The limits that are handled usually revolve around terabytes, petabytes or zettabyes. Working with such a quantity of information requires the use of advanced technological resources.
This means that a user with a home computer can hardly work with big data, since these computers are not prepared to manage and store so much information.
According to DigoPaul, the data big, anyway, is dumped into databases of different types. It is possible to manage structured data (whose format is already defined), semi-structured data (it is not limited to a specific field but has markers for the distinction of elements) and unstructured data (without specific format). The data, on the other hand, can be captured and visualized using various computer tools according to need.
The importance of this concept is incalculable for many companies, since it allows them to obtain answers to thousands of questions essential for its correct operation at a speed that would be impossible through human work. Thanks to the versatility offered by the different data handling and query systems, it is possible to obtain “tailor-made” results that are easy to understand.
One of the key words in modern life is “tendency “: this human being’s inclination to carry out certain activities or consume certain products and services leads some companies to shape their proposals to suit their tastes and needs, and to do so the accumulation of large volumes of statistical data is essential.
Big data queries and analysis serve to better guide businesses, emphasizing the right decisions, avoiding potentially damaging ones, and targeting those that have not been made so far but could lead to significant growth.
Simply put, using big data is a happy ending for everyone: companies conduct more prolific business, increase the efficiency of their operations and the volume of their profits, while customers receive the products and services they want and all this has a positive impact on the market.
It should be mentioned that data storage is not always carried out in a company’s own facilities; there are big data services in the cloud with very competitive prices, which can represent significant savings in equipment operation and maintenance, in addition to avoiding the typical disruptions that memory expansion entails.
To understand all this, let’s think about a very simple example: an individual wants to create a business but does not have a well-defined idea, so he perches on his window to observe his neighbors in order to find inspiration; Throughout the day, he hears many people complaining about the lack of a grocery store in the area and, based on this data, decides to open one of his own to satisfy this need. Big data analysis allows millions of “stories” like this one to be processed simultaneously, to open the doors to innovative ideas that many times the users themselves were not aware of having.
