Making the difference with Open and Big data: Examples from Developing World
Normally what is explicit about open data is the transparency. Evangelists on the area claim for transparency of everything, including governments and companies. The same happens with Big Data. People must collect every data they can and try to cross it to find something. Both of them, alone, can improve something, however, together, they can solve problems of the world.
This post highlight the potential of opened data used under the theories and practice of Big Data Analytics. For people that do not know one subject or both, here we go. Open Data is an area that considers a must have data in open format. What does it mean? For example, Do You use PDF? Stop it. Use Word and save it on docx? Never do that again. I said NEVER! Why? Because my computer cannot understand or copy/paste, as simple as we can do that on .doc or any other open format, such as CSV and XLS. This is an important part of science and work processes currently. The evolution of the humankind depends on this velocity of change.
Fernando Pessoa
For Big Data, these patterns are really important, but focusing on databases and its interoperability of systems. Big Data Analytics can cross a (really) big quantity of data to find solution for what was, at first sight, unsolvable. For example, we know that heavy rains can do flood, but with some other databases the Big Data analytics can predict where, how much and what to do to avoid it. And can also improve the selling of certain cupcakes because the rain is coming. Oh, Lord, heavy rain in Brazil. Please, a boat and a chocolate cupcake!
Machado de Assis
From this perspective, a leading artist appears; the data scientist. Mixing some from computer science, data visualization, geography, engineer, business and other specific areas, is almost an artist. Can cross, in real time, a huge quantity of data to find any not obvious relation between a disease and a culture. For example, the case of Ebola in Africa highlighted the attention to burials; Why do they touch people that can spread one of the most lethal disease on the last 10 years? Because it is cultural. And it must need to stop.
For it, this artist, the data scientist, must be a leading actor in our businesses, our governments and mainly, in anything we will do from this point. Be the artist that world needs. Be a scientist to solve our problems.










