A Super Simple Explanation for Big Data

The OTTPAY revolves around a few core values namely machine learning, artificial intelligence, predictive analytics and big data. Today we are going to talk about big data so that everyone can understand. Big data may have been around for some time now and the term may cause confusion to some people. This is a concept that is still young and it is still evolving. It is still the propeller of the waves in the transformation of the digital technology. This is why OTTPAY decided to apply it in their project. Big data goes hand in hand with artificial intelligence, the internet of things and data science. Did you know that big data is changing the world? Read on to know why.

The growth of big data

There has a lot of data that has been created since the start of a digital age. This is because of the rise of the internet, computers, and technologies that can easily capture data from our daily lives. Data is not a new thing. It has been there since the days of Moses. Computers only came in to help us store data on a large scale in a way the data can be accessed easily.

We can describe big data as to a collection of a lot of data and the ability of humans to make use of the data to smoothen our lives across a wide range of areas such as medicine, business, and technology.

How does it work?

It is very simple, the more you get to learn about anything, the more you know how it works and this gives you the ability to make predictions in future. This is typically how big data works. For example, old men in traditional lives were more accurate to predict the weather as compared to children because old men had too much information about the weather. Going back to big data, you can compare more data point and realize some relationships that were hidden. The relationships can be used to make smart decisions. This can be done through building models using the collected data and running simulations. In the end, we tweak the value of the data points and monitor how it impacts results. OTTPAY technology can run millions of simulations and come up with smart solutions to problems.

In the past, data was limited to databases and it was in order and neat. Most data was organized into rows and columns to make it easy to work with it. Currently, we can store and work with huge amounts of data no matter how it is stored. Now data could be anything from the written test, videos, sensor data, and photos.

There have been big data projects that use cutting-edge analytics to make sense of large amounts of data that is not organized. The analytics use involves using machine learning and artificial intelligence. Computers can be taught to identify what huge amounts of data represent through natural language processing or image recognition. 

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