What Is Big Data? A Super-Easy Intro For Everyone

The term Big Data is not very much unknown for most of the tech guys albeit there is some sort of confusion about it in everyone's mind. If we explain the term from layman's point of view, then it means the large volume of structured as well as unstructured data. Now a very usual question will arise in our mind after knowing the definition of the term big data that how we can get this large amount of data? As an answer to this question, we can say that we usually produce data when we communicate with our friends or when we do some digital transactions or when we shop whenever we go online. 

What are the solutions Big Data is providing which seem to be impossible even a few years ago?

We already know that information, photographs, text, voice, and video data is the base of big data and big data is now involved in so many projects for helping the mankind.

1.  For preventing and curing cancer like disease big data is playing an important role.

2.  Big data has made a huge revolution in agriculture which reduces the food scarcity problem.

3.  Big data also helping NASA to explore distant planets by analyzing millions of data. With the help of big data, NASA is also planning to land on the surface of Mars.

4.  Scientists are trying to analyze sensor data which can forecast earthquake like natural disasters.

5.  By adopting big data and police force's own intelligence the government is trying to reduce crime incidents.

Working process of Big Data 

Big Data widen up more data points for comparing previous results which give us the ability to predict more reliably about what will happen in the future. Nowadays Data is coming in an unstructured form rather than structured form like pictures and videos – from satellite or uploaded photos on Facebook or Twitter. To tackle this type of Big Data we are taking the help of artificial intelligence and machine learning languages.

So in a nutshell, we can say Big Data is providing us unusual insights and opportunities except for few future concerns like Data Privacy, Data Security, and Data Differentiation.