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Cloud DNA

Innovation on the digital society


What is Big Data?

Tiempo de lectura: 2 minutos

Have you heard about Big Data but you don’t know exactly what it is? ‘Big Data’ is a term for data sets that are so large that conventional software is inadequate to deal with them within a reasonable time. It includes capture, storage and data curation as well as the infrastructures, technologies and services created in order to manage this huge amount of information.

We all are contributing to create data sets, in a direct or indirect way. Every day 2.5 Quintillion bytes of data are generated, European Union says. This amount of data is equivalent to 360,000 DVD.

Big Data

Every day we use a lot of gadgets that send out an extremely large quantity of information. For example, each time we click on the Internet, we pay with credit card, we publish images in our social networks, we switch on a GPS, etc. All these actions (and more) produce massive data sets that must be curated.

In short, Big Data has four main goals, the so-called 4 V’s: to manage a huge volume and variety of information with velocity and veracity.


Types of Big Data

‘Big data’ can be classified regarding two considerations: its origin and its structure.

Big Data types


Uses of Big Data

Once the information is obtained and collected, we must analyse it, because it can be useful when making decisions.

Let’s see some real examples of the use of Big Data:

  1. Marketing: customer segmentation. A lot of companies use massive data in order to adapt their products and services to the customer’s needs. They also use it to improve operations and infrastructures, and to find out new business opportunities.
  1. Sports: performance optimization. Gadgets like smart watches register data regarding calorie intake or fitness conditions.
  1. Public health: genetics codification. For instance, there are Big Data platforms dedicated to analyse DNA strands in order to research on illnesses and to improve medical treatments.
  1. New technologies: stand-alone devices improvement. Massive Data analysis contributes to improve machines and devices such as electric cars in order to make them more autonomous.
  1. Security: crime detection and prevention. Security forces use Big Data to find criminals or to prevent criminal activities, like cyberattacks.


We hope that all this examples help you to understand what is Big Data and its uses. Do you know other applications of massive data? Comment this post and tell us!



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