Although we do not see them, huge amounts of information are stored and circulated around our world generated by companies, administrations or the citizens themselves in a explosion of data waiting to be processed and used with different purposes under the label of the so-called Big Data or “large-scale data”. For a few years, the digital transformation that we are all undergoing is a paradigm shift, of the activities where the influence of the analysis of a large number of figures provides us with values with possible and useful applications and predictions if we look from the perspective of habitability and design of cities, experts call it Smart Data.
To begin to understand how it works we will try to give answer to some questions…
Content menu:
It is that technology that allows synthesizing and analyzing a large volume of data efficiently and quickly from very different. As examples; from the searches we carried out on Google, through GPS signals according to our movements, of the purchases we make, of all the information that is posted on the Internet, article, networks social networks, blogs or those objects that we have connected in our houses to the Internet…etc. We can verify some more indications in this post being that in addition, the data is are analyzed completely automatically, instantly and in real time.
It is not known exactly how long it has existed or when was invented at a historical point, yes it is true that the phenomenon was already exposed by a computer scientist John Mashey in the report called «Big Data and the Next Wave of Infrastress». This study intuited that the growth unstoppable volume of information would be very difficult to manage by human and physical infrastructures employees in the year 1998. Possibly when it arises, is thanks to the low storage costs of information and of course, the increase in speed of processing.
You have to remember that storing notes, numbers and figures is not It's useless…You have to analyze it!
We think we understand that with the following graph it is observed clearly the upward curve only from the devices mobiles, computers, tablets…etc. It is just one example of the overwhelming growth in a specific sector where the Big Data graphs provide information relevant:
By the way, where they are stored is based on the so-called data centers which are technology centers and computer information collectors and belonging to governments, organizations and large companies if we talk about large numbers that use techniques for extracting and translating exact configurations.
The study of the data allows us to find those relationships that at first sight we cannot see and although it seems that have nothing in common, if we organize them, if they contrast and schematize we can detect different patterns, correlations and trends to be able to make some concrete decisions achieving prognoses and diagnoses more reliable that can be used, for example, to improve the habitability of cities and their efficiency In response to concerns about the growth rate of cities around the world.
Runs using open source software (Hadoop) where large files are processed and divided into smaller to be able to handle us more quickly and easily, and that also provides backup copies. If this aspect we transfer it to the information that we have analyzed and obtained from a city, in an orderly manner and schematic, a Smart City platform model that allows us to we can find, as an example:
In relation to cities, process management and infrastructures are advancing very quickly based on a information about the traffic that supports each day and a more precise estimation that will determine the possible traffic of future. Endless variables studied that will improve as example; the efficiency of transport or energy savings that they could achieve.
We can use a Big Data volume study for the treatment of the behavior of citizens and their urban planning, their needs, or predictive maintenance industries and their costs or failures, including predictions in the field of health.
In the following infographic we can see some of the landmarks of interest:
From the MIT Department of Urban Planning and Analysis of cities, we have the Treepedia project on the intelligence of Smart Cities . the cities around the world compete for greener areas and for So more trees. The increase in the number of trees and their volume in cities contributes to reducing urban temperatures and increasing evaporation of the water by creating more comfortable microclimates, they also mitigate the air pollution from urban activities or help prevent flooding during heavy rains. So in general, trees are quite necessary within the urban framework.
After incorporating data through a new
If we move to New York City, for For example, more than two thirds of the energy is used in the appliances and buildings, mainly intended for the space cooling and heating, lighting or electricity. So the buildings are the key points for practice energy efficiency and savings.
With these rates of energy use, a target The main thing was to analyze if we can be more effective in the use of energy. This is where the usage example came in. of Big Data to begin to understand energy consumption and why there are areas that consume less than others.
To understand how it can be useful, what better than to see a TED conference in Barcelona where he shows us the usability of the data against tourism in Spain as a perfect example of use to be more effective and efficient from the economic perspective, of urbanism, of the infrastructures… etc.
