what Big Data is, what it is for

So that companies can collect a large amount of information in real time and quickly, they use data systems that speed up this work. Next, we show you what Big Data is, what it is for, and how its resources are contributing to the planning and promotion of companies .

Index(  )

1. What is Big Data?
   1. Origin of the data
2. What is Big Data for?
3. Uses and applications of Big Data
4. Types of Big Data
   1. According to its origin
   2. According to its structure
5. What is the importance of Big Data?
6. Advantages and disadvantages of Big Data

What is Big Data?

It is the dimension of the massive computing data, Big Data handles and processes data on a large scale , which has a fast coverage and performance. The information is requested as a remote process, whether or not it is registered in the company’s database or according to the objective set.

Big Data has a data storage capacity , which adapts to the information requests of companies, becoming more versatile every day. Before providing the data, they have undergone an analysis, which allows us to extract what is needed for the development of the consumer market.

Origin of the data

Basically the information comes from the simplest and most everyday methods that people use every day and every moment.

• When browsing the internet through any social network.
• By sending and receiving emails.
• Biometric Readers, such as the use of body recognition.
• Any type of communication transmission provides the data.

What is Big Data for?

As we are talking about an almost infinite amount of information , it is logical to want to know what we can do with it and how Big Data works.

• Record information from different sources so that it can be processed by other programs.
• Analyze web behavior: Through the daily browsing done on the internet, people expose their preferences and tastes.
• Identify specific patterns: Interested institutions can get specifically the data they need for their market.
• Extract the value of data and adapt it:Based on this data, companies can make changes that allow them to renew or innovate methods.
• Improve effectiveness: You can achieve better uses of raw materials, costs and project into the future by being more efficient.
• Consumption is measured: According to consumption needs, it is possible to evaluate how productive the service is, based on the data collected.
• Digital information is extracted from potential clients: Usually this information is provided by the client himself.
• Tool for digital marketing : For digital service providers, it is more useful to reach more consumers by having a large database.
• Multinational companies measure their performance, the scope of work thanks to this digital data and can establish their competition against other companies.

Uses and applications of Big Data

Big Data has been used for years in different aspects, such as those that appear below and new fields will emerge in which they will use this tool.

1. The commercial industry: In a large consumer market, you can know what audience you can reach and what product to offer. These companies use Big Data and its data to measure the development, advantages and disadvantages of their public services.
2. Multinational companies:They measure their expansion, and the resources they need as strategies for the world market.
3. Government institutions: Entities can evaluate the development of their public proposals and how they can influence citizens.
4. Advertising: Companies can guide their users to convenient placesto use their services.
5. Financial Market: You can measure vulnerability and probabilities, you can set prices and prevent fraud.
6. Communication service: Companies can determine customer satisfaction , and also offer new services.
7. Health Industry: With these digital data supplied, you can make better censuses, analyze health statistics,make more accurate diagnoses. In addition to making a medical structure with better care, as well as offering insurance and similar resources that contribute in many ways.
8. Music: Yes, this field also makes use of Big Data, since the effect generated in the public and in the industry can be measured.

Although it is something that may go unnoticed, it is extremely important in the development of organizations , and how this helps to adjust to a better functioning. Take advantage of the continuous and long list of computer data provided by Big Data, analyze and extract what allows a strategic planning of objectives .

Types of Big Data

The types of Big Data are the following; structured data, unstructured data, and semi-structured data. Structured data maintains its length and format well defined, that is, it is designed, as for example we have dates, character strings and numbers.

Unstructured data lacks a format and a length, among them we have atmospheric data, photographs and surveillance cameras. Finally, there is the semi-structured data that is nothing more than a mixture of structured data with unstructured data, such as web pages.

 According to its origin

The data according to its origin can come from social networks such as Facebook, Instagram and Twitter, as well as a simple email such as Gmail or an advertisement that appears on the screen and you allow it to access or accept the publication.

 According to its structure

The data according to its structure can come in an organized or disorganized way, that is, from the same site or from both sites.

What is the importance of Big Data?

The importance of Big Data is to evolve testimonials into ideas. It is a discipline mixed with science, that is, artificial intelligence.

Advantages and disadvantages of Big Data

The advantages of Big Data are numerous but some of them are: change management, improving the competitiveness of companies, drinking water consumption could be reduced by up to 40%, anticipating problems, transforming data into knowledge, decision support through automatic algorithms and cost reduction.

The disadvantages of Big Data is that now the human being has no privacy, with any social network such as Facebook, Twitter, Instagram, among others; With these social networks, a series of personal and private data is collected which is stored to be able to manipulate, control you, guide you to a destination that the company that buys your data achieves.