Hello Bikkers, in today’s post we will explain a little what Big Data is, what it can contribute to our applications, how it can help our projects and finally, we will explain in broad strokes that it brings in our PBL project Bikko.

What is Big Data?

Big Data can be defined as «The set of techniques and technologies for data processing, in high volume environments, variety of origins and in which the response speed is critical.» Although this definition seems a bit difficult, here we explain more about this fashionable concept.

To identify cases in which Big Data can be used, the one known as “the V’s rule” is used. These V’s refer to the terms “Volume”, “Speed”, “Veracity” and “Variety” and we define them as follows:

Volume: A large amount of data is processed.

Speed: Generation, creation, data production.

Truthfulness: Confidence that the data is true.

Variety: Number of different sources from which the data to be analyzed comes.

big data comparacion

Big Data in global projects

Big Data already has a great impact on society, but it is increasing. Thanks to Big Data, companies collect huge amounts of data that help them prosper their businesses and also to create new businesses. These are some of the utilities that are given to such data:

Companies collect data from their customers that are used to improve the user experience. For example, companies like Amazon or Netflix use this data to recommend products of interest to their customers.
Data are collected on events that have occurred over time and on the conditions that have occurred for it to occur. With this you can predict these events and prevent them. For example in meteorology it is used to prevent environmental catastrophes, or also to prevent mechanical failures.
before they had to be programmed all the functions of the machines. Now, thanks to big data, machines can learn by themselves, since big data allows you to create machine learning models.

Big Data in Bikko

In the case of Bikko, Big Data can also be very useful. In our case we collect data from our customers and users, and how they use our application. This helps us to analyze the behavior of people in front of the different interfaces of our app, and later be able to modify them to offer a better user experience.


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