Big Data Blog

Big data visualisation is how we view big data, as the name suggests big data is an incredibly large amount of data. If we were to just look at the raw information, not only would we become confused reading through so much nonsense, we would just would not be able to look through enough of it to make a difference. This is why there are several better ways of viewing big data, such as charts, graphs, pictures and videos. Using these types of visualisation allow us to view larger amounts of data in an easy to digest fashion, we can spot any patterns or trends with greater ease and we can possibly see any relationships that may exist between other data sets. https://www.datamation.com/big-data/big-data-visualization.html

Mining data from the data created on the internet is an ever increasing challenge as we are generating a staggering amount of data, roughly 2.5 Quintilian bytes of data every day. With the massive amounts of data that are generated, there have to be ways to filter and sort this data efficiently. There are several methods being utilised right now, such as association. When you go and buy some washing power on Amazon for example, it would make sense for that person to also want to buy fabric softener. This type of association is very simple but the same principles can be applied to millions of different products, thus making it easier to associate data with a person. Another type of method for mining big data is clustering, clustering is similar to association, in that multiple products, items or even ideas, can be clustered together into one group. This one group can then be labelled as a certain entity, where you will be able to find things that relate to that entity. This would be ve...

There are a lot of valuable uses for big data when it comes to companies making a profit, however big data can also be used to solve real life problems and make the world a better place. For example, back in 2014, the CDC which is the Centers for Disease Control, were able to track vital information such as the health, population and movement information to predict the spread of disease. This was extremely handy for preventing the spread of the virus to further areas and inflicting more pain and distress on the population. There is also work being carried out which will be able to predict floodings which will happen within the next 100 to 500 years. This work has been possible thanks to the information gathered from floods in the last two decades and using artificial intelligence to predict these future floods, preemptively saving the lives of countless people. https://insidebigdata.com/2018/03/21/big-data-revolution-data-can-solve-commercial-public-health-problems/ https://hack...