Big Data

There is data being constantly generated in today’s age when we communicate our friends on Facebook or use Amazon to shop for something. There is always a digital footprint being generated on every digital transaction we make, which is almost everything today. All this data is too complex to simplify and too large to store in one format. Therefore, Big data was invented. Big Data can be described as extremely large data sets that may be analyzed computationally to reveal patterns, trends, and associations, especially when the data formats are in images and voice form. Today, most of the information we receive is in unstructured form, meaning they can’t be put on an excel sheet. This information is in the form of images and videos on Facebook, recorded telephone calls and email. Therefore, Big Data often uses analytics involving A.I (Artificial Intelligence) and Machine Learning. Big Data has solved problems over the years using these techniques such as curing diseases and prevent the spread of cancer by using data-driven medicine, which analyses vast number of medical records and images to present early detection of the disease and develop new medicines, prevent crime by using data-driven strategies based on their own intelligence and public data sets in order to deploy resources more efficiently, and explore distant planets by using million so of data points and using models of eventuality, in order to find the perfect landing zones for the Rover. Big Data is presently being used through an “as-a-service” platform. Which means that the organization rents the server space, software systems, and processing power from outside providers. All the work is being done on the service provider’s servers. This increases flexibility and makes the data-driven model more efficient by reducing the needs of servers, premises and technical labor. Although the Invention seems to be beneficial, there have been concerns regarding the data privacy and data security. In terms of privacy, we would be sharing personal information about ourselves and daily we have been asked to limit the amount of information accessible to Big data powered apps. Other problems, that the invention faces is security. The data is stored on servers all over the world, which raises the question of how the companies keep the data safe especially since the recent Facebook scandal has put into question the very existence of Big-Data.